Browse Skills — Page 112

exchange-attack

wgpsec/AboutSecurity

Microsoft Exchange 邮件服务器攻击方法论。当发现 OWA(Outlook Web App) 登录页面、Exchange 管理面板、443 端口运行 Exchange、或内网中发现 Exchange 服务器时使用。当端口扫描发现 25/443/587/993/995 且指纹为 Exchange 时使用。覆盖 OWA 密码喷洒、ProxyLogon(CVE-2021-26855)、ProxyShell(CVE-2021-34473)、ProxyNotShell(CVE-2022-41040)、邮箱搜索导出、GAL 全局地址簿提取、NTLM 中继到 Exchange。Exchange 是域渗透中最高价值的目标之一——可获取域管邮箱、提取全员通讯录、获取 SYSTEM 权限。发现任何 /owa /ecp /autodiscover /mapi 路径时都应使用此 skill

exchange-session-detector

terrylica/cc-skills

DST-aware exchange session detection using exchange_calendars. Holiday & lunch break handling. TRIGGERS - exchange session, trading hours

excitation-signal-design

elizaOS/eliza

Design effective excitation signals (step tests) for system identification and parameter estimation in control systems.

excursion-departure

yogsoth-ai/de-anthropocentric-research-engine

Leave the problem entirely and explore an unrelated domain. Produces excursion domain discoveries for later force-fitting.

excursion-method

yogsoth-ai/de-anthropocentric-research-engine

Full 8-stage Gordon-Prince excursion process. Deliberate departure from the problem into unrelated domains, then force-fit discoveries back.

excursion-orchestration

yogsoth-ai/de-anthropocentric-research-engine

Orchestrate the excursion sequence — departure into unrelated domain, force-fit discoveries back to problem, launch springboard ideas.

exdoc-config

existential-birds/beagle

Configures ExDoc for Elixir projects including mix.exs setup, extras, groups, cheatsheets, and livebooks. Use when setting up or modifying ExDoc documentation generation.

cloudflare/exec

cloudflare/computer

How exec works in this workspace. Commands run in bash in a real Linux container, with Node.js, git and network access, and the workspace is synced in and out around each call. Read this before running commands, installing packages, or debugging files that don't show up where you expect.

trailofbits/exec

trailofbits/calcifier

Execute a calcified .calcifier/recipe.py pipeline. Use when the user asks to "run a calcified skill", "exec a calcifier recipe", or wants deterministic playback of a pinned skill.

exec-cockpit

alirezarezvani/gaios

Template skill for a leadership-transition / executive cockpit — when someone steps into or covers a leadership role and needs to not drop anything. Produces a handoff doc + decision-rights map, an "open loops" tracker, a team-comms cadence, and a recurring report/update drafter. Trigger on "/exec-cockpit", "handoff doc", "decision-rights map", "open loops tracker", "cover for <role>", "interim <role>". Customize the placeholders to your situation.

exec-engagement-and-sponsorship

Significant-Gravitas/skills-catalog

Use when an account needs a running executive program: C-level connects, sponsorship gaps, briefings, and governance cadence.

exec-local-compile

NVIDIA/skills

Compile TensorRT-LLM on a compute node inside a Docker container. Use this when already on a compute node with GPUs visible.

exec-plan

first-fluke/fullstack-starter

Create, manage, and track execution plans as first-class repository

exec-slurm-compile

NVIDIA/skills

Compile TensorRT-LLM on a SLURM cluster. Covers submitting a batch job with a container image, monitoring the job, and verifying the build. Use when the user wants to compile TRT-LLM remotely via SLURM rather than on a local compute node.

exec-summary

indranilbanerjee/digital-marketing-pro

Generate C-suite executive summaries. Use when: preparing board reports, portfolio ROI, or strategic reviews.

execgo-agent-bridge

iammm0/secbot

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execute

alirezarezvani/claude-skills

Use for /c-level-agents:execute, or to turn an approved decision into a 90-day plan with weekly milestones and owners.

executing-active-directory-attack-simulation

mukul975/Anthropic-Cybersecurity-Skills

>

executing-distributed-system-tests

shenli/distributed-system-testing

Use when running a previously designed distributed-systems test plan against a real or simulated cluster — driving fault injection, workload, chaos scenarios, linearizability / consistency runs, durability, partition, crash-recovery, upgrade, performance/SLO runs, tenant isolation runs, boundary or authz runs, fairness / noisy-neighbor runs, or release validation. Also use when asked to "execute the plan", "reproduce a distributed bug", "run stability tests", "drive chaos", "validate a release end-to-end", "run the tenant isolation tests", or when a plan file exists at docs/testing-plans/ or any caller-specified location and needs to be run. Discovers and reuses the SUT's test toolbox rather than reinventing, captures nemesis landing evidence per scenario, runs the green-but-broken and weak-oracle audits before any PASS, and for boundary or fairness scenarios with §7.M.S arms runs each surface arm with its own verdict under a downgrade rule so the aggregate cannot fold an untested surface into a pass.

executing-phishing-simulation-campaign

mukul975/Anthropic-Cybersecurity-Skills

>

obra/executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

jnMetaCode/executing-plans

jnMetaCode/superpowers-zh

当你有一份书面实现计划需要在单独的会话中执行，并设有审查检查点时使用

openai/executing-plans

openai/plugins

Use when you have a written implementation plan to execute in a separate session with review checkpoints

executing-plans-v2

diegosouzapw/awesome-omni-skills

Executing Plans workflow skill. Use this skill when the user needs you have a written implementation plan to execute in a separate session with review checkpoints and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

executing-red-team-engagement-planning

mukul975/Anthropic-Cybersecurity-Skills

Red team engagement planning is the foundational phase that defines scope, objectives, rules of engagement (ROE), threat model selection, and operational timelines before any offensive testing begins.

executing-red-team-exercise

mukul975/Anthropic-Cybersecurity-Skills

>

executing-specs

yogsoth-ai/de-anthropocentric-research-engine

Execute a Research Spec step by step, respecting context protocol, deviation limits, and backtrack rules. Supports multi-session recovery.

execution-grounded-selection

Tibsfox/gsd-skill-creator

>

execution-model

HKUDS/Vibe-Trading

Trade execution modeling (backtest only) — slippage formulas (linear / square-root impact), VWAP/TWAP execution logic, market-impact cost estimation, and execution-assumption configuration.

execution-monitoring

yogsoth-ai/de-anthropocentric-research-engine

Monitor execution progress, detect anomalies, and report status

execution-synthesis

yogsoth-ai/de-anthropocentric-research-engine

Synthesize complete execution report from all results, tests, and reproducibility data

executive-assistant-getting-started

Significant-Gravitas/skills-catalog

Set up assistant work from priorities, key people, writing voice, calendar rules, and approval rules.

executive-briefing

anthropics/claude-agent-sdk-demos

"Transforms research findings into executive-ready briefings. Automatically activated when user mentions 'executive', 'briefing', 'C-suite', 'board', 'leadership', or 'presentation'."

executive-dashboard

indranilbanerjee/digital-marketing-pro

Design executive marketing dashboards. Use when: building CMO reports, board metrics, or leadership views.

executive-dashboard-generator

OneWave-AI/claude-skills

Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board reports.

executive-mentor

alirezarezvani/claude-skills

Use when a founder or executive needs a plan stress-tested, a dreaded decision made, a hard board meeting prepared or an honest post-mortem. Adversarial thinking partner; scores options with decision_matrix_scorer.py and maps stakeholders with stakeholder_mapper.py.

executive-onboarding-playbook

deanpeters/Product-Manager-Skills

Plan a VP or CPO 30-60-90 day diagnostic onboarding path. Use when entering a new executive product role and avoiding premature change.

executive-summaries

elophanto/EloPhanto

Transform complex business inputs into concise, actionable executive summaries using McKinsey SCQA, BCG Pyramid Principle, and Bain frameworks. Adapted from msitarzewski/agency-agents.

executive-summary

mohitagw15856/pm-claude-skills

Write an executive summary for any document, report, or proposal. Use when asked to write an executive summary, management summary, briefing paper, or one-pager for senior stakeholders. Produces a structured summary that busy executives can read in under 3 minutes and act on.

executive-summary-bausteine

Klotzkette/claude-fuer-deutsches-recht

Erstellt die sechs Kern-Eckpunkte des Executive Summary einer KI-Nutzungsrichtlinie: Werkzeugcharakter, Verschwiegenheit, Datenschutz und Geheimnisschutz, Quellenprüfung, Keine Privat-Accounts sowie Kennzeichnungspflichten — als modulare, anpassbare Textbausteine.

executive-update

mohitagw15856/pm-claude-skills

Transform detailed product updates into concise executive briefings. Use when asked to write an executive update, leadership update, product update for the exec team, or a C-suite product briefing. Produces a structured 250-word briefing with headline, key metrics, progress, risks, decisions needed, and next steps.

exercise_cluster

multigres/multigres-operator

Deploy MultigresCluster fixtures, run mutation scenarios, and validate health using the observer. Finds bugs in the operator and upstream multigres by exercising real cluster operations and verifying end-to-end health beyond CRD phase status. Use this skill whenever the user wants to test the operator, exercise the cluster, run exerciser scenarios, validate cluster health after changes, find bugs through mutation testing, or deploy and mutate fixtures.

exist-automation

ComposioHQ/awesome-claude-skills

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

existing-repo

alinaqi/maggy

Analyze existing repositories, maintain structure, setup guardrails and best practices

exoplanet-workflows

elizaOS/eliza

General workflows and best practices for exoplanet detection and characterization from light curve data. Use when planning an exoplanet analysis pipeline, understanding when to use different methods, or troubleshooting detection issues.

expand-shell

tobihagemann/turbo

Expand a shell into a full implementation plan. Verifies Consumes against the current codebase, runs a fresh pattern survey, escalates open questions, and fills in concrete file references and verification. Use when the user asks to \"expand a shell\", \"expand shell\", \"fill in the shell\", \"expand the shell\", or \"concretize the shell\".

expansion-aktualisierung

Klotzkette/claude-fuer-deutsches-recht

Aktualisiert den Status eines laufenden Expansionsprojekts — ermittelt, welche Punkte nun freigegeben sind, kennzeichnet überfällige Positionen und benennt die nächsten Prioritäten. Lädt, wenn seit der letzten Sitzung Fortschritte erzielt wurden und der Tracker den aktuellen Stand widerspiegeln soll.

expansion-auftakt

Klotzkette/claude-fuer-deutsches-recht

Startet die Planung einer Neueinstellung in einem weiteren Bundesland oder einem neuen Zielland — erhebt die relevanten Eckdaten, rahmt die Entscheidung AÜG-Modell / EOR / eigene Gesellschaft, entwirft abteilungsübergreifende Fragen und legt einen persistenten Tracker an. Lädt, wenn jemand sagt „wir stellen in [Land/Region] ein\", „Expansion nach [Land]\" oder „erste Einstellung in [Land]\".

expansion-business-case

t0ddc3by/claude-for-customer-success

>

expansion-kickoff

anthropics/claude-for-legal

>

expansion-onboarding

t0ddc3by/claude-for-customer-success

>

expansion-opportunity-brief

Significant-Gravitas/skills-catalog

Assess an expansion opportunity from customer need and usage evidence without turning weak signals into a sales claim.

expansion-retention

tech-leads-club/agent-skills

When the user wants to reduce churn, build expansion revenue, automate customer success, or optimize net revenue retention. Also use when the user mentions 'churn,' 'retention,' 'expansion revenue,' 'upsell,' 'NRR,' 'net revenue retention,' 'customer success,' 'land and expand,' 'closed-lost,' or 'renewal.' This skill covers expansion and retention systems from usage triggers through automated customer success. Do NOT use for technical implementation, code review, or software architecture.

expansion-revenue-finder

OneWave-AI/claude-skills

Identifies upsell and cross-sell opportunities within existing customer accounts. Analyzes product usage, feature gaps, team growth, industry benchmarks, and competitive pressure to surface revenue expansion plays scored by potential, effort, and likelihood. Generates an expansion-playbook.md with account-by-account opportunities, recommended pitch, timing, and approach.

expansion-signal

t0ddc3by/claude-for-customer-success

>

expansion-signal-spotter

gooseworks-ai/goose-skills

>

expansion-signals

guia-matthieu/clawfu-skills

Identify upsell and cross-sell opportunities through usage patterns, growth signals, and account behavior analysis

expansion-update

anthropics/claude-for-legal

>

expansion-whitespace

anthropics/knowledge-work-plugins

Find the expansion whitespace in an account or a book - what they own vs. what they could own, the evidence for each play, and the open opps to create. Use when the user asks "what's the whitespace at [account]", "where can I expand [account]", "upsell opportunities in my book", or "which customers should I be growing".

expatriate-pensionsplanung-und-totalization

Klotzkette/claude-fuer-deutsches-recht

Expatriate-Pensionsplanung: Sozialversicherungsabkommen Totalization Agreements A1-Bescheinigung US-Totalization DBA-Doppelbesteuerungsabkommen Stranded Pensions und Koordination grenzueberschreitender Versorgungsansprueche fuer entsandte Mitarbeiter im Konzern.

expect

yonatangross/orchestkit

Diff-aware AI browser testing — analyzes git changes, generates targeted test plans, and executes them via agent-browser. Reads git diff to determine what changed, maps changes to affected pages via route map, generates a test plan scoped to the diff, and runs it with pass/fail reporting. Use when testing UI changes, verifying PRs before merge, running regression checks on changed components, or validating that recent code changes don't break the user-facing experience.

expected-value

lyndonkl/claude

Calculates probability-weighted averages of all possible outcomes to enable rational decisions under uncertainty. Covers scenario identification, probability estimation, payoff quantification, and risk-adjusted interpretation. Use when comparing risky options (investments, product bets, strategic choices), prioritizing projects by expected return, assessing whether to take a gamble, or when user mentions expected value, EV calculation, risk-adjusted return, probability-weighted outcomes, or decision tree.

expense-categorization

Significant-Gravitas/skills-catalog

Turn receipts and transaction exports into a sourced expense review table without guessing at unclear items or tax treatment.

expense-report

TerminalSkills/skills

>-

expense-review-policy

openai/openai-cookbook

Review invoices and contracts against accounts-payable policy before human approval.

expense-tracker

aAAaqwq/AGI-Super-Team

Manage expense tracker bot — deploy, check expenses, export data, sync locally

experiment

SethGammon/Citadel

>-

experiment-arms

github/lever

Runs many single-hypothesis "arms" as do-not-merge PRs, measures each with paired, interleaved runs against a cost-matched control, keeps only the arms that clear a keep bar set in advance, records every negative, and composes the winners into a stack that is re-measured on real traffic after merge. It opens PRs and burns CI, so it runs only on `/lever arms` or an explicit ask to measure ideas ("which of these ideas actually helps?", "is this change worth it?", "try that tip I saw", "run arms on this") for a CI, perf, eval, benchmark or cost hill-climb where the system can be run on demand.

experiment-audit

wanshuiyin/Auto-claude-code-research-in-sleep

Audit experiment integrity before claiming results. Uses cross-model review (external reviewer backend) to check for fake ground truth, score normalization fraud, phantom results, and insufficient scope. Use when user says \"审计实验\", \"check experiment integrity\", \"audit results\", \"实验诚实度\", or after experiments complete before writing claims.

experiment-bridge

wanshuiyin/Auto-claude-code-research-in-sleep

Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says \"实现实验\", \"implement experiments\", \"bridge\", \"从计划到跑实验\", \"deploy the plan\", or has an experiment plan ready to execute.

experiment-config-generation

yogsoth-ai/de-anthropocentric-research-engine

SOP: generate executable experiment configuration files

experiment-design

rampstackco/claude-skills

A discipline for designing experiments (A/B tests, multivariate, holdouts) so the results actually answer the question you asked. Hypothesis writing, sample size, duration, segment analysis, interpretation, decision-making, and the common failure modes that produce confidently wrong shipping decisions.

experiment-design-pipeline

GRIND-Lab-Core/night_owl_research_agent

Run an end-to-end workflow that chains the skills `refine-research` and `experiment-design`. Use when the user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap, or asks to build a pipeline, do it end-to-end, or generate both the method and experiment plan together.

experiment-designer

alirezarezvani/claude-skills

Plan A/B tests and product experiments: hypotheses, sample size, priority, reading results. Use whenever the user asks if a test won, how long to run it or what to test.

experiment-detail-comparator

aipoch/medical-research-skills

Compare experimental method details between two Zotero PDF papers, identify protocol differences (ratios, dosages, timing, conditions), search supporting literature to explain why they differ, and generate an HTML report. Use when you need a parameter-level comparison of two methods and evidence-backed reasons for discrepancies.

experiment-plan

wanshuiyin/Auto-claude-code-research-in-sleep

Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.

experiment-queue

wanshuiyin/Auto-claude-code-research-in-sleep

SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says "batch experiments", "队列实验", "run grid", "multi-seed sweep", "auto-chain experiments", or when /run-experiment is insufficient for 10+ jobs that need orchestration.

experiment-readout

Significant-Gravitas/skills-catalog

Write an experiment readout with assignment checks, metric definitions, sample sizes, uncertainty, practical effect, and limits.

experiment-runner-run

aAAaqwq/AGI-Super-Team

Run survival arena experiments

experiment-running

yogsoth-ai/de-anthropocentric-research-engine

Execute the plan by dispatching fresh subagents per task, monitoring status, and collecting results

experiment-suite

ai4s-research/ai4s-skills

Use when the user has a research question and needs a complete experiment package — design document, runnable code, results (measured or simulated with honest provenance), publication-grade figures, structured report. Single-stage, no Python runtime.

experiment-tracking

elophanto/EloPhanto

Expert in experiment design, execution tracking, and data-driven decision making for A/B tests, feature experiments, and hypothesis validation. Adapted from msitarzewski/agency-agents.

experiment-tracking-swanlab

Orchestra-Research/AI-Research-SKILLs

Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.

experimental_data_processing

InternScience/scp

Experimental Data Processing - Process experimental data: absolute error, mean square, max value, scientific notation formatting. Use this skill for experimental physics tasks involving calculate absolute error calculate mean square calculate max value format scientific notation convert to scientific notation. Combines 5 tools from 1 SCP server(s).

experimental-data-analysis

aipoch/medical-research-skills

Statistical analysis and reporting for experimental datasets; use when you need to interpret experimental results, test significance (t-tests/ANOVA), or generate reproducible reports.

experimental-design-batch-design

swaruplab/operon

Designs genomics experiments so technical nuisance variation (batch, lane, plate, flow cell, operator, reagent lot, processing day) is balanced against the biological variable of interest and therefore estimable rather than confounded, using constrained sample-to-batch assignment (designit, OSAT), the confounder/mediator/collider distinction, and the principle that no post-hoc correction recovers a fully confounded design. Covers detecting hidden batches with surrogate variable analysis, a decision table for downstream correction (ComBat-seq, RUVSeq, SVA) whose execution is deferred to differential-expression/batch-correction, and reproducibility metadata. Use when assigning samples to sequencing batches/lanes/plates, avoiding batch-condition confounding, deciding whether a design is salvageable by correction, choosing a correction method, or estimating the number of hidden batches. For the experimental unit, randomization, and blocking concepts see experimental-design/randomization-blocking.

experimental-design-ds

Tibsfox/gsd-skill-creator

A/B testing, randomization, sample size calculation, confounding control, and causal inference for data science. Covers the full experimental lifecycle from hypothesis formulation through power analysis, randomization strategies, blocking, factorial designs, sequential testing, and the potential outcomes framework for causal claims. Use when designing experiments, planning A/B tests, calculating sample sizes, or reasoning about causation from data.

experimental-design-multiple-testing

swaruplab/operon

Controls error rates across thousands of simultaneous tests in genomics discovery using false-discovery-rate methods (Benjamini-Hochberg 1995; Benjamini-Yekutieli 2001 for arbitrary dependence; Storey q-value with pi0 estimation; local FDR; independent filtering Bourgon 2010; covariate-weighted FDR via IHW Ignatiadis 2016), plus family-wise error control (Bonferroni, Holm) and the GWAS genome-wide threshold. Covers the FDR-versus-FWER choice as the discovery-versus-confirmatory distinction, the dependence assumptions behind BH (PRDS) versus BY, pi0 estimation, the independent-filtering and false-coverage-rate traps, and reproducibility ranking via IDR (Li 2011). Use when correcting p-values from genome-wide tests, choosing between BH/BY/q-value/Bonferroni, setting an FDR threshold, applying IHW or independent filtering, or interpreting q-values. For confirmatory trials with few pre-specified endpoints (closed testing, graphical/gatekeeping), see clinical-biostatistics/multiplicity-graphical.

experimental-design-power-analysis

swaruplab/operon

Calculates statistical power for high-dimensional genomics experiments (bulk RNA-seq, scRNA-seq, ATAC-seq, ChIP-seq, methylation, proteomics) under negative-binomial count models using RNASeqPower, PROPER, and simulation via powsimR, distinguishing per-gene from marginal (transcriptome-wide) power, the role of mean expression and dispersion, and the sequencing-depth-versus-replicate tradeoff. Covers simulation as the honest default for overdispersed counts, FDR-aware average power versus single-test power, observed/post-hoc power as an anti-pattern, and the winner's-curse / Type-S / Type-M consequences of underpowering. Use when planning replicate number for a sequencing experiment, deciding whether to add depth or samples, choosing closed-form versus simulation power, estimating power from pilot dispersions, or justifying replication in a grant. For clinical-trial power see clinical-biostatistics/power-and-sample-size; for the inverse sample-size question see experimental-design/sample-size.

experimental-design-randomization-blocking

swaruplab/operon

Structures biological experiments so inference is valid by construction, covering Fisher's principles (randomization, replication, local control), the experimental-vs-observational unit distinction and pseudoreplication (Hurlbert 1984; Lazic 2018), randomization mechanics (complete, restricted, stratified, rerandomization, run-order), blocking layouts (randomized complete block, Latin square, incomplete block), factorial designs and interactions, and the split-plot/nested error strata hidden inside multi-batch genomics. Use when deciding the experimental unit and what counts as a replicate, planning randomization and run order, choosing a blocked/factorial/split-plot/nested layout, avoiding pseudoreplication in cell-culture or animal studies, or specifying the random-effects structure of the analysis model. For assigning samples to sequencing batches/lanes/plates and batch-effect correction see experimental-design/batch-design; for regulated clinical-trial randomization see clinical-biostatistics.

experimental-design-sample-size

swaruplab/operon

Estimates the minimum biological replicates (or cells/events) for a target power at a target FDR in genomics experiments using ssizeRNA, PROPER, powsimR for scRNA-seq, and pilot-data dispersion estimation from DESeq2/edgeR. Covers the biological-versus-technical replication distinction (technical replicates do not add degrees of freedom for biological inference), replicate-number-versus-sequencing-depth budgeting, scRNA-seq sample-versus-cell allocation under a pseudobulk model, and the critique that "n=3" is a publication convention rather than a power calculation. Use when budgeting a sequencing experiment, writing the sample-size justification in a grant, estimating replicates from pilot data, allocating a fixed budget between samples and depth, or planning scRNA-seq cohort size. For clinical-trial sample size see clinical-biostatistics/power-and-sample-size; for the power-given-n direction see experimental-design/power-analysis.

experimental-design-sci

Tibsfox/gsd-skill-creator

Experimental design principles for scientific inquiry. Covers variable identification and control, control groups (positive and negative), randomization, blinding, sample size and power, replication strategies, factorial designs, quasi-experimental approaches, and common design pitfalls. Use when designing, reviewing, or teaching about controlled experiments in any scientific discipline.

experimental-methods

Tibsfox/gsd-skill-creator

Experimental methods for physics including measurement, uncertainty analysis, and experimental design. Covers the scientific method applied to physics, the SI unit system, significant figures, uncertainty and error analysis (systematic vs. random, propagation of uncertainty), dimensional analysis (Buckingham Pi theorem), experimental design (controls, variables, reproducibility), data analysis (linear regression, chi-squared, curve fitting), lab safety, landmark physics experiments (Millikan, Cavendish, photoelectric effect, Michelson-Morley), graphical analysis, and order-of-magnitude estimation (Fermi problems). Use when designing experiments, analyzing data, reporting measurements, or making back-of-the-envelope estimates.

experimentation-analytics

rampstackco/claude-skills

How to read experiment results without fooling yourself. Confidence intervals, p-values, multiple testing, sequential testing, CUPED, heterogeneous treatment effects, ratio metrics, network effects, dashboard reconciliation, and the interpretation failures that produce confidently wrong shipping decisions.

experimentation-platform-orchestrator

rampstackco/claude-skills

A platform decision framework for experimentation. When to use Statsig vs PostHog vs GrowthBook vs Optimizely vs Amplitude vs Eppo vs Kameleoon. How to migrate between them. How to coordinate when multi-platform is genuinely warranted. The decisions that compound for years and the ones you can defer. Triggers on which experimentation platform, choose Statsig vs PostHog, evaluate experimentation tools, switch experimentation platform, migrate from Optimizely, consolidate experimentation tools, multi-platform experimentation, experimentation platform decision, ab test platform selection, feature flag platform vs experiment platform, warehouse-native experiments, vendor lock-in experimentation. Also triggers when a team is asking about cost, governance, or migration cost across experimentation tools, or when an evaluation is starting.

experiments

microsoft/vscode

Use when adding, changing, or reviewing a VS Code A/B experiment, either an experiment-controlled setting or a treatment read with the assignment service, and when deciding whether and where to log an `experimentTrigger` event for a triggered ExP scorecard.

expert-interview

inhouseseo/superseo-skills

Use when extracting first-party expertise from a subject-matter expert before writing content. Produces a knowledge document of contrarian takes, specific examples, and surprising outcomes that AI can't fabricate.

expert-interview-generator

aipoch/medical-research-skills

Generates a full expert interview article including introduction, Q&A body, and summary based on interview questions and expert background. Use when you have interview questions and an expert profile and need a polished article.

expert-interview-topics

aipoch/medical-research-skills

Generates professional interview titles and questions based on expert background and topic. Provides a structured workflow for interview preparation.

expert-panel

OneWave-AI/claude-skills

Assemble 2-3 complementary experts to collaboratively analyze anything. Experts work together to explore topics from multiple expert angles.