Browse Skills — Page 138

helm-templates

TheBushidoCollective/han

Use when working with Helm templates and template functions for generating Kubernetes manifests dynamically.

helm-values

TheBushidoCollective/han

Use when managing Helm values files and configuration overrides for customizing Kubernetes deployments.

help

ComposioHQ/awesome-claude-plugins

Show skill-bus overview, status, and available commands. Quick reference for all skill-bus features.

help-center-article-generator

gooseworks-ai/goose-skills

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help-url-reference

Community-Access/accessibility-agents

Centralized help URL reference for accessibility remediation. Maps axe-core rule IDs to Accessibility Insights info-examples pages, document rule IDs to Microsoft Office and Adobe PDF help pages, and WCAG criteria to W3C Understanding documents. Use when generating CSV exports, markdown reports, or any output that links findings to external remediation documentation.

helpdesk-automation

benjaminasterA/antigravity-awesome-skills

Automate HelpDesk tasks via Rube MCP (Composio): list tickets, manage views, use canned responses, and configure custom fields. Always search tools first for current schemas.

helpdesk-automation-v2

diegosouzapw/awesome-omni-skills

HelpDesk Automation via Rube MCP workflow skill. Use this skill when the user needs Automate HelpDesk tasks via Rube MCP (Composio): list tickets, manage views, use canned responses, and configure custom fields. Always search tools first for current schemas and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

helpwise-automation

ComposioHQ/awesome-claude-skills

"Automate Helpwise tasks via Rube MCP (Composio). Always search tools first for current schemas."

hephaestus-build

agentlas-ai/Agentlas-OS

Use when the user types /prompts:hep-build, mentions @Hephaestus for build work, asks to create a single Agentlas agent, create a multi-agent team, or package an existing local/external agent into Agentlas architecture.

hephaestus-cloud

agentlas-ai/Agentlas-OS

Use when the user types /hep-cloud or asks to staff from THEIR OWN Agentlas cloud packages only. Cloud is one exact source scope; Network means Local + owner Cloud + public Hub.

hephaestus-network

agentlas-ai/Agentlas-OS

Use when the user types /hep-network, mentions @Hephaestus, or asks Agentlas to staff a task from registered Local, owner Cloud, and public Hub agents or teams. The active host LLM is the temporary orchestrator.

hephaestus-storm

agentlas-ai/Agentlas-OS

Use when the user types /hep-storm, says @Hephaestus storm <goal>, or asks to drive a goal to verified completion through a force-robust Stormbreaker loop. Stormbreaker routes the goal to real Agentlas specialists, materializes a dependency-ordered pipeline fabric, and runs each work packet as a verifier-first hardened loop that does not stall, run away, or claim false success. Use it for loop-worthy work — apps, sites, agents, automations, debugging, multi-step research, data/report generation. Trivial questions are answered directly, not stormed.

herdr-e2b-bench

e2b-dev/herdr-e2b-sandbox

Build and run a coding-agent shootout in this repo — one task, N agents (claude, codex, opencode, amp, grok, droid, prime, muse), each in its own E2B sandbox, graded by a held-out test and compared on tokens, cost, wall clock and diff size. Takes one argument. `create` authors a new benchmark task: the brief (bench/BENCH.md), the held-out grader (bench/grade.sh), and the reusable measurement scripts (bench/usage.sh, bench/judge.sh, bench/README.md), then calibrates the grader by measuring its floor and its ceiling. `execute` drives an existing benchmark: fan out with e2b-box fleet, grade with e2b-bench, table with usage.sh, blind-judge with judge.sh, tear down. `quick` is `execute` on the fast task pair (bench/BENCH-quick.md + bench/grade-quick.sh) — ~5 minutes of agent time and a ~1s grader, for when you are testing the harness rather than the agents. Use this skill whenever the user mentions a bench, benchmark, shootout, race, "which agent is better", harness-bench, bench/BENCH.md, bench/grade.sh, held-out test, grading a fleet, best-of-n, or wants to compare coding agents on the same task, or says quick bench, fast bench, short bench, smoke bench, quick lap, or asks for a bench that does not take an hour — and also whenever they ask to add, change, calibrate, or score a benchmark task in this repo, or to run one for a demo recording. Prefer this over improvising e2b-fleet and e2b-bench calls by hand, because the held-out mechanics and the grader calibration are easy to get subtly wrong.

herdr-orchestration

compozy/agh

Orchestrate Claude and Codex worker TUIs from a controller agent through herdr panes and the herdr socket CLI. Use when delegating bounded tasks to herdr worker panes, running user-activated plan-first delegations (Claude Code plan mode, Codex Plan mode), waiting on native agent status (idle, working, blocked, done), or verifying worker reports. Workers launch as interactive TUIs via herdr agent start — never through headless runners (compozy exec, claude -p, codex exec). Not for cmux workspaces (see cmux-orchestration) and not for end-user herdr control.

here-automation

ComposioHQ/awesome-claude-skills

"Automate Here tasks via Rube MCP (Composio). Always search tools first for current schemas."

here-be-git

mkurman/zorai

Initialise a git repository with optional agent commit instructions and .gitignore. Use when users say "here be git", "init git", "initialise git", or otherwise indicate they want to set up version control in the current directory.

here.now

NousResearch/hermes-agent

Publish static sites to {slug}.here.now and store private files in cloud Drives for agent-to-agent handoff.

hermes-agent

NousResearch/hermes-agent

Configure, extend, or contribute to Hermes Agent.

hermes-agent-setup

superagi/hermes-agent

Help users configure Hermes Agent — CLI usage, setup wizard, model/provider selection, tools, skills, voice/STT/TTS, gateway, and troubleshooting. Use when someone asks to enable features, configure settings, or needs help with Hermes itself.

hermes-agent-skill-authoring

NousResearch/hermes-agent

Author in-repo SKILL.md: frontmatter, validator, structure.

hermes-atropos-environments

NousResearch/hermes-agent

Build, test, and debug Hermes Agent RL environments for Atropos training. Covers the HermesAgentBaseEnv interface, reward functions, agent loop integration, evaluation with tools, wandb logging, and the three CLI modes (serve/process/evaluate). Use when creating, reviewing, or fixing RL environments in the hermes-agent repo.

hermes-graphify-gsd-nonintrusive-workflow

seaworld008/Commonly-used-high-value-skills

Use when integrating Hermes Agent, graphify, and GSD into a local development workflow without modifying upstream repositories, especially when the user wants upgrade-safe wrappers, project-level workflow scripts, graph-aware planning, and a reusable setup that survives future upstream updates.

hermes-graphify-gsd-project-integration

seaworld008/Commonly-used-high-value-skills

Use when integrating Hermes Agent, graphify, and GSD into a specific repository, especially for adding project-local graph refresh scripts, AGENTS.md guidance, README workflow docs, gitignore entries, and a brownfield-friendly planning loop without modifying upstream tool repositories.

hermes-graphify-gsd-runtime-operator

seaworld008/Commonly-used-high-value-skills

Use when operating or debugging a repo-local Hermes + graphify + GSD autonomous runtime, especially when checking writer ownership, execution-surface eligibility, handoff/blocked state, stale cron or lease metadata, and whether the main project repo is still the only recommended writer surface.

hermes-history-ingest

Ar9av/obsidian-wiki

>

hermes-imports

affaan-m/ECC

Convert local Hermes operator workflows into sanitized ECC skills and release-pack artifacts. Use when preparing a Hermes workflow for public ECC reuse without leaking private workspace state, credentials, or local-only paths.

hermes-tweet

wshobson/agents

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hero

QinghongLin/data2story-skill

Craft the COVER — the one animated <video> hero that opens the page above the headline, built from a Scout-verified still (or an abstract generated still) via a deterministic source ladder. The cover is animated by DEFAULT; a static <img> is only the recorded last rung. Owns the hero video + its static furniture; the Interaction Engineer owns the pick-a-side overlay, the Cinematographer stages the cover as cin_00. Reuses data-des=des_hero_video (no new provenance prefix). Outputs hero.json + assets/teaser.webm + _web.mp4 + .jpg poster.

hero-generator

kostja94/marketing-skills

When the user wants to design, optimize, or audit hero sections (above-the-fold main visual area). Also use when the user mentions "hero," "hero section," "hero area," "above the fold," "above the fold content," "landing hero," "main banner," "banner section," "first fold," "hero section design," "hero conversion," "split layout hero," "centered hero," or "hero alignment." For homepage, use homepage-generator.

heterogeneity-investigation

yogsoth-ai/de-anthropocentric-research-engine

Explain why different studies reach different conclusions — heterogeneity investigation protocol. Budget: 30 studies, 30 effect sizes, 50 web searches.

heterogeneity-source-analysis

yogsoth-ai/de-anthropocentric-research-engine

Identify and classify sources of between-study heterogeneity (clinical, methodological, statistical)

hetzner-cloud

TerminalSkills/skills

>-

hetzner-deploy

fcakyon/claude-codex-settings

This skill should be used when user asks to "deploy to Hetzner", "create Hetzner server", "manage Hetzner Cloud", "hcloud CLI", or works with Hetzner Cloud infrastructure including servers, networks, firewalls, load balancers, DNS zones, and volumes.

heuristic

educlopez/ui-craft

Produce a scored heuristic critique of the UI using Nielsen's 10 + 6 design laws + optional persona walkthroughs. Outputs a machine-parseable scorecard plus a 0-100 UsabilityScore (the judged companion to the deterministic UICraftScore). Invoke when the user asks for heuristic on their UI, or mentions 'heuristic' alongside design / UI / frontend work.

heuristics-and-checklists

lyndonkl/claude

Provides practical frameworks for fast decision-making through mental shortcuts (heuristics) and systematic error prevention through structured checklists. Guides through designing effective heuristics, creating checklists for complex procedures, and recognizing when shortcuts lead to biases. Use when making decisions under time pressure or uncertainty, preventing errors in complex procedures, designing decision rules or checklists, simplifying complex choices, or when user mentions heuristics, rules of thumb, mental models, checklists, error prevention, cognitive biases, satisficing, or standard operating procedures.

hex-grid-spatial

elizaOS/eliza

Hex grid spatial utilities for offset coordinate systems. Use when working with hexagonal grids, calculating distances, finding neighbors, or spatial queries on hex maps.

hexagonal-architecture

affaan-m/ECC

Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.

hexdocs-fetcher

oliver-kriska/claude-elixir-phoenix

Fetch HexDocs for Elixir libraries with HTML-to-markdown conversion. Use when looking up docs on hexdocs.pm — modules, functions, guides, changelogs.

hey

basecamp/hey-cli

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heygen

zapier/connectors

Agent-callable HeyGen tools — generate AI avatar videos, translate and lip-sync videos, synthesize speech, and clone or browse voices and avatars. Use when the user mentions HeyGen or wants to create, translate, or check the status of AI videos, or to generate or clone a voice — including requests that don't name HeyGen, e.g. make an avatar video from a script, translate a video to Spanish, turn a script into a voiceover, or clone a voice from a recording.

HeyGen Automation

ComposioHQ/awesome-claude-skills

"Automate AI video generation, avatar browsing, template-based video creation, and video status tracking through HeyGen's platform via Composio"

heygen-api

TerminalSkills/skills

>-

heygen-avatar

heygen-com/skills

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heygen-avatar-lite

aAAaqwq/AGI-Super-Team

Create AI digital human videos with HeyGen API. Free starter guide.

heygen-translate

heygen-com/skills

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heygen-video

heygen-com/skills

|

heyreach-automation

ComposioHQ/awesome-claude-skills

"Automate Heyreach tasks via Rube MCP (Composio). Always search tools first for current schemas."

heyzine-automation

ComposioHQ/awesome-claude-skills

"Automate Heyzine tasks via Rube MCP (Composio). Always search tools first for current schemas."

hf-broker

huggingface/mlclaw

Use ML Claw's HF Broker for protected Hugging Face repository and bucket reads, writes, temporary grants, recovery, and revocation. Use instead of asking for or exposing a Hugging Face access token.

hf-cli

huggingface/skills

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.

hf-cloud-aws-context-discovery

huggingface/skills

Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work — deploying to SageMaker, creating resources, calling AWS APIs, or anything that touches an AWS account. Use it especially when the user has not specified a region or profile explicitly, when they say things like "use my AWS account", "deploy to AWS", "use my profile", or when about to make any AWS CLI or SDK call. Never guess the region or account ID — always use this skill to read it from the local configuration first.

hf-cloud-python-env-setup

huggingface/skills

Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.

hf-cloud-sagemaker-deployment-planner

huggingface/skills

Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffusion model", "host this for async inference", "create an endpoint", "serve my fine-tuned model", or any request that involves making a model available for inference on AWS. Use this even when the user is vague (e.g. "I just want to get this running on AWS, you figure it out"). Works for text-generation LLMs, embedding models, rerankers, classifiers, text-to-image / diffusion models — picks the right serving stack and chooses between real-time and async inference. This is the entry-point skill for SageMaker deployment work — it asks clarifying questions, picks a deployment pathway, and coordinates the other deployment skills.

hf-cloud-sagemaker-iam-preflight

huggingface/skills

Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it especially when the user has not provided a role ARN explicitly, when scripts are about to call `iam:CreateRole`, or when an AccessDenied error mentions an IAM action. Never blindly call `iam:CreateRole` — always check for existing roles first. This skill prevents the most common SageMaker deployment failure: trying to create IAM resources from an SSO principal that has no IAM write permissions.

hf-cloud-sagemaker-production-defaults

huggingface/skills

Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.

hf-cloud-serving-image-selection

huggingface/skills

Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.

hf-mcp

huggingface/skills

Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.

hf-mem

huggingface/skills

Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub

hf-release-notes

huggingface/huggingface_hub

Generate Hugging Face Hub (huggingface_hub) release notes from cached PR JSON files. Use when asked to draft release notes from PR files.

hf-space-deployer

huggingface/research-agent

Deploy fast-agent MCP Servers to Hugging Face Spaces using Docker. Use when the user wants to deploy an "agent card" as an MCP Server. Includes templates and CLI commands for deploying agent cards with custom tools to HF Spaces.

hf-space-recovery

huggingface/OpenEnv

Diagnose and recover failing or stuck Hugging Face Space deployments for OpenEnv environments. Use when deploying envs from `envs/` to the Hub (`openenv` namespace with version suffixes), when Spaces are in `BUILDING`/`APP_STARTING`/`RUNTIME_ERROR`, or when release collections need to be reconciled after targeted redeploys.

hft-quant-expert

aAAaqwq/AGI-Super-Team

Quantitative trading expertise for DeFi and crypto derivatives. Use when building trading strategies, signals, risk management. Triggers on signal, backtest, alpha, sharpe, volatility, correlation, position size, risk.

hgnc-api

aipoch/medical-research-skills

Access the HGNC (HUGO Gene Nomenclature Committee) database to search for and retrieve gene information including symbols, names, IDs, and other metadata.

hi-c-analysis-compartment-analysis

swaruplab/operon

Detects A/B chromatin compartments from balanced Hi-C contact matrices via eigenvector decomposition of the distance-normalized, Pearson-correlated cis matrix with cooltools (eigs_cis), then orients (phases) the compartment eigenvector against a GC or gene-density track so the active (A) sign is not arbitrary. Covers the eigenvector-is-a-choice problem (per-arm view_df to remove the centromere gradient; picking the eigenvector by max correlation with activity, not by eigenvalue), GC phasing with bioframe.frac_gc, resolution choice (100kb-1Mb), saddle plots and saddle_strength for compartmentalization strength, the cohesin-loss-strengthens-compartments result, subcompartments (SNIPER/Calder/dcHiC), and cross-condition compartment switching. Use when calling A/B compartments, computing E1/eigenvectors, phasing the eigenvector, building saddle plots, choosing a compartment resolution, quantifying compartment strength, or comparing compartmentalization across conditions.

hi-c-analysis-contact-pairs

swaruplab/operon

Turns Hi-C/Micro-C FASTQ into a deduplicated, filtered .pairs file with pairtools and decides whether the library worked. Covers the bwa mem -SP5M / bwa-mem2 / chromap --preset hic alignment idiom (mates mapped as independent single-end reads), pairtools parse vs parse2 and the walks-policy choice (5unique pairwise vs all for Pore-C/Micro-C concatemers), pair-type classification (keep UU and rescued UC), dedup (PCR vs optical/by-tile), select by pair_type/MAPQ/distance, restriction-fragment handling (restrict, Arima dual-enzyme, Micro-C/DNase fragment-free), and allele-specific phasing (pairtools phase to two coolers). The library-QC decision uses % long-range cis as the one-number quality metric, trans as the noise floor, orientation balance as fragment-map-free dangling-end/self-circle QC, and % duplicates as a complexity proxy. Use when processing Hi-C/Micro-C/Omni-C reads into pairs, judging library quality, handling multi-enzyme or restriction-agnostic protocols, or generating allele-specific contacts.

hi-c-analysis-hic-data-io

swaruplab/operon

Loads, converts, and manipulates Hi-C contact matrices in cooler format (.cool/.mcool/.scool) and Juicer .hic, using cooler (Python + CLI), hic2cool, and hictk. Covers the single-resolution mcool URI (file.mcool::/resolutions/<bp>), the load-bearing divisive-vs-multiplicative weight-naming rule (KR/VC/VC_SQRT auto-divisive vs cooler's multiplicative weight), what survives .hic<->.cool conversion (FRAG matrices and norm vectors do not), raw-vs-balanced coarsening, the .pairs upper-triangle/chromsize-order contract, and chrom-naming/bin-table provenance. Use when loading a cooler, converting .hic to .mcool, selecting a resolution, building a cooler from pairs or a matrix, coarsening/zoomifying, importing Juicer norm vectors, or debugging all-NaN balanced matrices and chr1-vs-1 empty fetches.

hi-c-analysis-hic-differential

swaruplab/operon

Compares Hi-C contact maps between conditions across the right scale -- differential bin-pair contacts (multiHiCcompare, diffHic), differential A/B compartments (dcHiC), differential TAD boundaries (delta insulation), and differential loops (diffloop, DiffHiChIP) -- with distance-stratified between-sample normalization, replicate-aware NB-GLM FDR, HiCRep SCC reproducibility gating, and CNV correction for cancer/aneuploid samples. Use when comparing Hi-C between treatment and control, finding differential contacts/compartments/boundaries/loops, normalizing two maps of unequal depth, choosing a replicate-aware test, gating replicates with SCC, or correcting copy-number artifacts before a tumor-vs-normal comparison.

hi-c-analysis-hic-visualization

swaruplab/operon

Renders Hi-C contact matrices honestly and reproducibly with matplotlib, cooltools, HiCExplorer, pyGenomeTracks, FAN-C, CoolBox, and plotgardener. Covers the raw/ICE-balanced/observed-over-expected transform choice, LogNorm vs symmetric-diverging colormaps with vmax/percentile clipping, resolution-to-feature matching (compartments 100-500kb, TADs 10-40kb, loops 5-10kb), square vs rotated-triangle track-stacking, NaN/white-stripe handling, virtual 4C, APA/saddle/on-diagonal pileups, two-condition side-by-side and log2-ratio maps, and interactive (HiGlass) vs scripted-static publication figures. Use when plotting a contact matrix, choosing a normalization or color scale, building a multi-track Hi-C figure, making a virtual 4C profile, piling up loops/boundaries, or comparing two conditions.

hi-c-analysis-hichip-plac-loops

swaruplab/operon

Calls significant loops from protein-directed and targeted 3C assays (HiChIP, PLAC-seq, Capture Hi-C/PCHi-C, ChIA-PET) where the contact background is peak-anchored and coverage-biased, so generic Hi-C loop callers (cooltools dots, Juicer HiCCUPS) use the wrong null. Covers FitHiChIP (config-driven coverage+distance-decay spline regression, peak-to-peak vs peak-to-all foreground, loose vs stringent background, coverage vs ICE bias), MAPS (positive Poisson regression on bias factors for PLAC-seq/HiChIP), hichipper (restriction-site-distance bias model + library QC), CHiCAGO (Delaporte two-component Brownian+technical background for asymmetric bait x other-end Capture Hi-C), the with/without separate-ChIP anchor decision, and differential loops via diffloop. Use when calling loops from HiChIP/PLAC-seq/Capture Hi-C, choosing FitHiChIP/MAPS/CHiCAGO, picking peak-to-all vs peak-to-peak, setting the loop FDR, supplying ChIP peaks as anchors, QCing a HiChIP library, or comparing loops between conditions.

hi-c-analysis-loop-calling

swaruplab/operon

Detects focal chromatin loops (point interactions / corner-dots) in balanced Hi-C and Micro-C contact maps and aggregates/validates a loop set. Covers de-novo calling with cooltools dots (HiCCUPS-style 4-background local enrichment with lambda-chunked FDR), chromosight (template-correlation), and Mustache (scale-space blob detection); aggregate peak analysis (APA) via cooltools pileup for confirmation; the depth/resolution prerequisite (de-novo needs ~5-10kb resolution = hundreds of millions to billions of valid pairs); consensus across callers and convergent-CTCF support as validation; and differential loops via union anchors plus chromosight quantify. Use when calling chromatin loops or dots from a cooler, deciding whether a map is deep enough to call de-novo vs running APA on known CTCF/cohesin anchors, building an aggregate peak pileup, comparing loops across conditions, or validating loop calls. For HiChIP/PLAC-seq/PCHi-C protein-anchored data use FitHiChIP/MAPS, not dots.

hi-c-analysis-matrix-operations

swaruplab/operon

Balances Hi-C contact matrices (ICE via cooler.balance_cooler, KR/SCALE/VC context), computes distance-decay expected with cooltools (expected_cis per-diagonal P(s), expected_trans scalar), builds observed/expected (O/E) matrices, and diagnoses polymer state from the P(s) log-derivative. Covers the within-matrix-vs-cross-sample distinction (balancing is NOT a normalizer), the equal-visibility assumption that CNV/aneuploidy violates (use raw counts for copy-number), cis-only balancing, mad_max/blacklist masking before balancing, multiplicative cooler weights vs divisive juicer weights, and the resolution-vs-depth budget. Use when balancing a .cool/.mcool, computing expected or P(s), making O/E matrices for compartments/loops, deciding ICE vs KR vs SCALE, choosing a resolution for a given depth, or troubleshooting NaN/all-NaN balanced matrices; route cross-sample comparison to hic-differential.

hi-c-analysis-tad-detection

swaruplab/operon

Detects TAD boundaries from balanced Hi-C contact matrices via the diamond-window insulation score (cooltools insulation) and HiCExplorer hicFindTADs, returning a continuous log2 insulation track, valley-prominence boundary_strength, and Li/Otsu-thresholded is_boundary flags across a list of window sizes. Covers the multi-scale window sweep (sub-TAD to compartment-domain), why the boundary is reproducible but the domain partition is not, cross-condition comparison via differential SCORE not differential partition, and the insulation-vs-compartment orthogonality. Use when calling TADs or domain boundaries, computing insulation scores, choosing a window size, ranking boundary strength, comparing boundaries across conditions, or annotating CTCF-backed boundaries; route domain rendering to hic-visualization and boundary-feature overlap to genome-intervals.

hierarchical-agent-memory

diegosouzapw/awesome-omni-skills

Hierarchical Agent Memory (HAM) workflow skill. Use this skill when the user needs Scoped CLAUDE.md memory system that reduces context token spend. Creates directory-level context files, tracks savings via dashboard, and routes agents to the right sub-context and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-components-content

raintree-technology/hig-doctor

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hig-components-content-v2

diegosouzapw/awesome-omni-skills

Apple HIG: Content Components workflow skill. Use this skill when the user needs Apple Human Interface Guidelines for content display components and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-components-controls

raintree-technology/hig-doctor

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hig-components-controls-v2

diegosouzapw/awesome-omni-skills

Apple HIG: Selection and Input Controls workflow skill. Use this skill when the user needs Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-components-dialogs

raintree-technology/hig-doctor

>-

hig-components-dialogs-v2

diegosouzapw/awesome-omni-skills

Apple HIG: Presentation Components workflow skill. Use this skill when the user needs Apple HIG guidance for presentation components including alerts, action sheets, popovers, sheets, and digit entry views and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-components-layout

raintree-technology/hig-doctor

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hig-components-layout-v2

diegosouzapw/awesome-omni-skills

Apple HIG: Layout and Navigation Components workflow skill. Use this skill when the user needs Apple Human Interface Guidelines for layout and navigation components and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-components-layout-v3

diegosouzapw/awesome-omni-skills

Apple HIG: Layout and Navigation Components workflow skill. Use this skill when the user needs Apple Human Interface Guidelines for layout and navigation components and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-components-menus

raintree-technology/hig-doctor

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hig-components-menus-v2

diegosouzapw/awesome-omni-skills

Apple HIG: Menus and Buttons workflow skill. Use this skill when the user needs Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-components-search

raintree-technology/hig-doctor

>-

hig-components-search-v2

diegosouzapw/awesome-omni-skills

Apple HIG: Navigation Components workflow skill. Use this skill when the user needs Apple HIG guidance for navigation-related components including search fields, page controls, and path controls and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-components-status

raintree-technology/hig-doctor

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hig-components-status-v2

diegosouzapw/awesome-omni-skills

Apple HIG: Status Components workflow skill. Use this skill when the user needs Apple HIG guidance for status and progress UI components including progress indicators, status bars, and activity rings and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-components-system

raintree-technology/hig-doctor

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hig-components-system-v2

diegosouzapw/awesome-omni-skills

Apple HIG: System Experiences workflow skill. Use this skill when the user needs Apple HIG guidance for system experience components: widgets, live activities, notifications, complications, home screen quick actions, top shelf, watch faces, app clips, and app shortcuts and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-components-system-v3

diegosouzapw/awesome-omni-skills

Apple HIG: System Experiences workflow skill. Use this skill when the user needs Apple HIG guidance for system experience components: widgets, live activities, notifications, complications, home screen quick actions, top shelf, watch faces, app clips, and app shortcuts and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-foundations

raintree-technology/hig-doctor

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hig-foundations-v2

diegosouzapw/awesome-omni-skills

Apple HIG: Design Foundations workflow skill. Use this skill when the user needs Apple Human Interface Guidelines design foundations and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-foundations-v3

diegosouzapw/awesome-omni-skills

Apple HIG: Design Foundations workflow skill. Use this skill when the user needs Apple Human Interface Guidelines design foundations and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-inputs

raintree-technology/hig-doctor

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hig-inputs-v2

diegosouzapw/awesome-omni-skills

Apple HIG: Inputs workflow skill. Use this skill when the user needs Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-inputs-v3

diegosouzapw/awesome-omni-skills

Apple HIG: Inputs workflow skill. Use this skill when the user needs Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-patterns

raintree-technology/hig-doctor

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hig-patterns-v2

diegosouzapw/awesome-omni-skills

Apple HIG: Interaction Patterns workflow skill. Use this skill when the user needs Apple Human Interface Guidelines interaction and UX patterns and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hig-patterns-v3

diegosouzapw/awesome-omni-skills

Apple HIG: Interaction Patterns workflow skill. Use this skill when the user needs Apple Human Interface Guidelines interaction and UX patterns and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.