Browse Skills — Page 151

ifap-formalpruefung-174

Klotzkette/claude-fuer-deutsches-recht

Prüft die Mindestangaben der Forderungsanmeldung nach § 174 InsO einschließlich Grund, Betrag, Urkunden, Nachrang und elektronischer Einreichung.

ifap-grund-betrag-zinsen

Klotzkette/claude-fuer-deutsches-recht

Prüft Anspruchsgrund, Hauptforderung, Teilzahlungen, Gutschriften, Zinsen, Kosten und rechnerische Konsistenz der Anmeldung.

ifap-intake-kanalcheck

Klotzkette/claude-fuer-deutsches-recht

Erfasst Forderungsanmeldungen aus Post, E-Mail, Portal, Tabellenexport und Nachtrag mit Eingangsbuch, Metadaten und Dublettenverdacht.

ifap-kommandocenter

Klotzkette/claude-fuer-deutsches-recht

Startet die Insolvenzforderungsanmeldungsprüfung vom Eingang bis zur Tabelle, erkennt Verfahrensstand, Rolle, Fristen und nächste sichere Aktion.

ifap-masseverbindlichkeit-abgrenzen

Klotzkette/claude-fuer-deutsches-recht

Grenzt Insolvenzforderungen von Masseverbindlichkeiten, Neumasse, Altmasse und falsch angemeldeten Forderungen ab.

ifap-nachforderung-maengelschreiben

Klotzkette/claude-fuer-deutsches-recht

Erstellt freundliche und präzise Mängel- und Belegnachforderungen zu unvollständigen oder widersprüchlichen Forderungsanmeldungen.

ifap-nachtraegliche-anmeldung-177

Klotzkette/claude-fuer-deutsches-recht

Steuert verspätete, geänderte und nachträgliche Forderungsanmeldungen nach § 177 InsO mit Kosten-, Termin- und Schriftverfahrenslogik.

ifap-pruefentscheidung

Klotzkette/claude-fuer-deutsches-recht

Erstellt nachvollziehbare Prüfentscheidungen für Feststellung, Teilfeststellung, Bestreiten, Teilbestreiten, Rückstellung und Nachforderung.

ifap-pruefungstermin-176

Klotzkette/claude-fuer-deutsches-recht

Bereitet Prüfungstermin oder schriftliches Prüfungsverfahren nach § 176 InsO mit Einzelforderungen, Widersprüchen und Erörterungspunkten vor.

ifap-quality-gate

Klotzkette/claude-fuer-deutsches-recht

Prüft vor Tabelle, Prüfungstermin, Bestreiten, Feststellung und Verteilung die Vollständigkeit, Plausibilität, Quellen und roten Risiken.

ifap-rang-nachrang-absonderung

Klotzkette/claude-fuer-deutsches-recht

Prüft Rang, Nachrang, Sicherungsrechte, Absonderung, Aussonderung und Ausfallforderungen ohne Gläubigerangaben ungeprüft zu übernehmen.

ifap-schuldnerwiderspruch-184

Klotzkette/claude-fuer-deutsches-recht

Prüft Schuldnerwiderspruch nach § 184 InsO, Monatsfrist bei titulierten Forderungen, Rechtsstreitaufnahme und Kommunikationsbedarf.

ifap-streitige-forderung-179-180

Klotzkette/claude-fuer-deutsches-recht

Führt den Nachlauf streitiger Forderungen nach §§ 179 und 180 InsO einschließlich Titelumkehr, Feststellungsklage und Aufnahme anhängiger Verfahren.

ifap-tabellenauszug-178

Klotzkette/claude-fuer-deutsches-recht

Erstellt Ausgaben zu Tabellenfeststellung und Tabellenauszug nach § 178 InsO mit Wirkung, Widerspruch und Kommunikationslogik.

ifap-tabellenimport-175

Klotzkette/claude-fuer-deutsches-recht

Erstellt Tabellenimport und Tabellenarbeitsstand nach § 175 InsO mit Grund, Betrag, Rang, vbuH, Widerspruch und Prüfstatus.

ifap-vbuh-pruefung

Klotzkette/claude-fuer-deutsches-recht

Prüft Anmeldungen wegen vorsätzlich unerlaubter Handlung, vorsätzlicher Unterhaltspflichtverletzung oder Steuerstraftat mit Tatsachen- und Hinweislogik.

ifap-verteilung-bestrittene-189

Klotzkette/claude-fuer-deutsches-recht

Überwacht § 189 InsO für bestrittene Forderungen bei Abschlags- oder Schlussverteilung mit Nachweis, Rückbehalt und Nichtberücksichtigung.

ifc-data-extraction

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Extract structured data from IFC (Industry Foundation Classes) files using IfcOpenShell. Parse BIM models, extract quantities, properties, spatial relationships, and export to various formats.

ifc-qto-extraction

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.

ifc-to-excel

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Convert IFC files (2x3, 4x1, 4x3) to Excel databases using IfcExporter CLI. Extract BIM data, properties, and geometry without proprietary software.

ignisign-automation

ComposioHQ/awesome-claude-skills

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

ignore

terrylica/cc-skills

Manage global ignore patterns for lint-relative-paths. TRIGGERS - statusline ignore, add ignore pattern, lint ignore, path lint exclude.

Ignored

antfu/skills-npm

Never scanned when a root SKILL.md exists

iii-architecture-patterns

iii-hq/iii

>-

iii-core-primitives

iii-hq/iii

>-

iii-engine-config

iii-hq/iii

>-

iii-error-handling

iii-hq/iii

>-

iii-getting-started

iii-hq/iii

>-

iii-sandbox

iii-hq/iii

>-

iii-sdk-reference

iii-hq/iii

>-

ill335-hosted-agent

microsoft/aitour27-ILL335-building-deploying-ai-agents-with-microsoft-foundry

Supports the ILL335 Microsoft Foundry hosted-agent lab. Use for Lab 6, Agent Framework, FoundryChatClient, ResponsesHostServer, direct code deployment, unified azure.yaml, microsoft.foundry, local readiness checks, azd up, azd deploy, agent invocation, evaluation generation, or deployment troubleshooting.

ill335-lab-navigator

microsoft/aitour27-ILL335-building-deploying-ai-agents-with-microsoft-foundry

Guides learners through AI Tour ILL335, Building & Deploying AI Agents with Microsoft Foundry. Use when a learner asks where to start, what lab to complete next, how the labs connect, or how to resume the workshop.

ill335-responses-api

microsoft/aitour27-ILL335-building-deploying-ai-agents-with-microsoft-foundry

Supports ILL335 model inference and sentiment-analysis labs that use the OpenAI Responses API with Microsoft Foundry. Use for Labs 3-5, responses.create, output_text, previous_response_id, structured JSON, model comparison, or Responses API errors.

ill335-troubleshooting

microsoft/aitour27-ILL335-building-deploying-ai-agents-with-microsoft-foundry

Diagnoses ILL335 setup, authentication, dependency, Responses API, validation, and hosted-agent failures. Use when a learner reports an error, failed lab checkpoint, broken setup, deployment problem, rate limit, content filter, or unexpected model output.

illo

tmchow/illo-skill

>-

ilya-sutskever

diegosouzapw/awesome-omni-skills

SKILL: Ilya Sutskever \u2014 O M\u00edstico do Deep Learning (v2.0) workflow skill. Use this skill when the user needs Agente que simula Ilya Sutskever \u2014 co-fundador da OpenAI, ex-Chief Scientist, fundador da SSI. Use quando quiser perspectivas sobre: AGI safety-first, consci\u00eancia de IA, scaling laws, deep learning profundo, o epis\u00f3dio de novembro 2023 na OpenAI, superintelig\u00eancia segura and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ilya-sutskever-v2

diegosouzapw/awesome-omni-skills

SKILL: Ilya Sutskever \u2014 O M\u00edstico do Deep Learning (v2.0) workflow skill. Use this skill when the user needs Agente que simula Ilya Sutskever \u2014 co-fundador da OpenAI, ex-Chief Scientist, fundador da SSI. Use quando quiser perspectivas sobre: AGI safety-first, consci\u00eancia de IA, scaling laws, deep learning profundo, o epis\u00f3dio de novembro 2023 na OpenAI, superintelig\u00eancia segura and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ima-copilot

daymade/claude-code-skills

>

vercel-labs/image

vercel-labs/json-render

Image renderer for json-render that turns JSON specs into SVG and PNG images via Satori. Use when working with @json-render/image, generating OG images from JSON, creating social cards, or rendering AI-generated image specs.

axoviq-ai/image

axoviq-ai/synthadoc

Extract text from images using a vision LLM

coreyhaines31/image

coreyhaines31/marketingskills

When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets. Also use when the user mentions 'AI image generation,' 'generate an image,' 'create a graphic,' 'product mockup,' 'hero image,' 'social media graphic,' 'banner image,' 'cover photo,' 'profile banner,' 'listing screenshot,' 'Flux,' 'Flux Kontext,' 'Midjourney,' 'DALL-E,' 'GPT Image,' 'ChatGPT Images,' 'Ideogram,' 'Gemini image,' 'Nano Banana,' 'Recraft,' 'Stable Diffusion,' 'Canva,' 'Figma,' 'image optimization,' 'compress images,' 'WebP,' or 'OG image.' Use this for general-purpose marketing image creation and optimization. For paid ad image creative and platform-specific ad specs, see ad-creative. For video production, see video.

image_editing

elizaOS/eliza

Comprehensive command-line tools for modifying and manipulating images, such as resize, blur, crop, flip, and many more.

image_search

obra/muse-skills

Search the web by text query for image URLs and source pages for feeds, artifacts, and visual references. Does not identify a supplied image or person.

image-analysis

TerminalSkills/skills

>-

image-annotations

github/awesome-copilot

Annotate screenshots, diagrams, and images with callout rectangles, arrows, labels, and color-coded highlights using PIL. Includes rules for animated GIF annotations with timing and pacing.

image-batch

guia-matthieu/clawfu-skills

"Batch process images for marketing. Use when: resizing images for social media; compressing images for web; removing backgrounds; adding watermarks; converting formats to WebP; optimizing for Core Web Vitals"

image-compare

TerminalSkills/skills

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image-compose

Utopai-Research/pai-pro

>-

image-enhancement-suite

dkyazzentwatwa/chatgpt-skills

Process images for cleanup, conversion, metadata, comparison, icons, palettes, collages, and sprite sheets. Use for single-image or batch image workflows.

image-enhancer

ComposioHQ/awesome-claude-skills

Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.

image-generation

onyx-dot-app/onyx

Generate images using nano banana.

image-handling

megalithic/dotfiles

Image handling for Claude API constraints (5MB max, 8000px max dimension). Use when working with images, screenshots, or MCP browser tools.

image-manipulation-image-magick

github/awesome-copilot

Process and manipulate images using ImageMagick. Supports resizing, format conversion, batch processing, and retrieving image metadata. Use when working with images, creating thumbnails, resizing wallpapers, or performing batch image operations.

image-ocr

elizaOS/eliza

Extract text content from images using Tesseract OCR via Python

image-ops

langchain-ai/design-agent

Deterministic pixel work on an existing image with sharp, Photoshop's image menu in code (resize, crop, rotate, tint, trim, flatten, pad, composite with blend modes, convert, compress, read metadata). Not for new pictures or branded layouts.

image-optimization

kostja94/marketing-skills

When the user wants to optimize images for search engines and performance. Also use when the user mentions "image SEO," "alt text," "image captions," "figcaption," "image optimization," "WebP," "lazy loading," "LCP," "image sitemap," "responsive images," "srcset," "image format," or "hero image optimization." For CWV, use core-web-vitals.

image-processing

jezweb/claude-skills

Process images for web development — resize, crop, trim whitespace, convert formats (PNG/WebP/JPG), optimise file size, generate thumbnails, create OG card images. Uses Pillow (Python) — no ImageMagick needed. Trigger with 'resize image', 'convert to webp', 'trim logo', 'optimise images', 'make thumbnail', 'create OG image', 'crop whitespace', 'process image', or 'image too large'.

image-prompt-engineering

elophanto/EloPhanto

Expert photography prompt engineer specializing in crafting detailed, evocative prompts for AI image generation that produce stunning, professional-quality photography. Adapted from msitarzewski/agency-agents.

image-scraper

aAAaqwq/AGI-Super-Team

Scrape and download all images from a given URL. Takes a URL, extracts image URLs from the page, and downloads them. Uses python3/curl as primary method, falls back to browser automation if needed. Use when user provides a URL and wants to download images from that page.

image-seo

nowork-studio/NotFair

>

image-seo-audit

indranilbanerjee/digital-marketing-pro

Audit image SEO. Use when: checking alt text, file sizes, WebP/AVIF formats, lazy loading, or responsive images.

image-studio

vellum-ai/vellum-assistant

Generate and edit images using AI

image-studio-v2

diegosouzapw/awesome-omni-skills

IMAGE-STUDIO: Gerador de Imagens Inteligente workflow skill. Use this skill when the user needs Studio de geracao de imagens inteligente \u2014 roteamento automatico entre ai-studio-image (fotos humanizadas/influencer) e stability-ai (arte/ ilustracao/edicao). Detecta o tipo de imagem solicitada e escolhe o modelo ideal automaticamente and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

image-to-3d-pipeline

guia-matthieu/clawfu-skills

"Transformez une image 2D en modèle 3D animé prêt pour le web ou le jeu en moins de 30 minutes, en utilisant le workflow Dilum Sanjaya (Hunyuan3D + Mixamo). Use when: **Créer un personnage 3D pour un site web** - Mascotte, avatar, illustration interactive; **Prototyper un asset de jeu** - Character design, props, environnements; **Produire du contenu marketing 3D** - Produits rotatifs, personnages animés; **Convertir des illustrations existantes** - Logo, mascotte, character design → 3D; **Tes..."

image-to-code

plugin87/ux-ui-agent-skills

Turn a reference image, screenshot, or mockup into token-driven, accessible code — infer the design system from the reference (palette, type scale, spacing, radius, layout archetype), map it to the 3-tier tokens, rebuild it, then verify with the kit's gates. Use when the user provides a design/screenshot and wants matching UI code.

image-to-code

openai/plugins

Implement a selected image, screenshot, mockup, or Image Gen reference as a faithful, responsive frontend.

image-to-data

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Extract data from construction images using AI Vision. Analyze site photos, scanned documents, drawings.

image-to-mission

Tibsfox/gsd-skill-creator

Extract creative intent from images into executable build specs. Activates on images + build intent, "image to mission", "i2m", or capturing visual energy in code/design.

image-to-svg

oaustegard/claude-skills

Convert raster images (photos, paintings, illustrations, line art) into SVG vector reproductions. Use when the user uploads an image and asks to reproduce, vectorize, trace, or convert it to SVG. Also use when asked to decompose an image into shapes, create an SVG version of a picture, or faithfully reproduce artwork as vector graphics. Handles graphic/line-art inputs (Kandinsky, architectural drawings, ink work) via a compositional pipeline that extracts lines as SVG strokes. Do NOT use for creating original SVG illustrations from text descriptions — only for converting existing raster images.

image-to-text

TerminalSkills/skills

>-

image-to-video

notque/vexjoy-agent

FFmpeg-based video creation from image and audio.

image-to-video

inferen-sh/superpowers

Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image, still to video, add motion to image, image animation, photo to video, animate still, wan i2v, image2video, bring image to life, animate photo, motion from image

image-understander

openakita/openakita

Analyze images using GPT-4 Vision for detailed description, OCR text extraction, object recognition, and visual Q&A. Use when the user needs to understand image content, extract text from screenshots, identify objects in photos, or ask questions about images via OpenAI GPT-4 Vision API.

image-understanding

openakita/openakita

Analyze images using Dashscope (Qwen) Vision models for detailed description, OCR text extraction, object recognition, and visual Q&A. Use when the user needs to understand image content via Alibaba Cloud Dashscope API, especially for Chinese-language image analysis and documents.

image-upscaling

inferen-sh/superpowers

Upscale and enhance images with Real-ESRGAN, Thera, Topaz, FLUX Upscaler via inference.sh CLI. Models: Real-ESRGAN, Thera (any size), FLUX Dev Upscaler, Topaz Image Upscaler. Use for: enhance low-res images, upscale AI art, restore old photos, increase resolution. Triggers: upscale image, image upscaler, enhance image, increase resolution, real esrgan, ai upscale, super resolution, image enhancement, upscaling, enlarge image, higher resolution, 4k upscale, hd upscale

image-utils

Bria-AI/bria-skill

Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness/contrast adjustments, and web optimization. Use this skill when post-processing AI-generated images, preparing images for web delivery, batch processing image directories, creating responsive image variants, or performing any deterministic pixel-level image operation. Works standalone or alongside bria-ai for post-processing generated images.

image-vision

microsoft/amplifier-bundle-skills

>-

microsoft/imagegen

microsoft/amplifier-bundle-imagegen

Generate or edit raster images using a mounted image-generation capability. Use for illustrations, photos, textures, and bitmap assets; use visualize for HTML diagrams.

seaworld008/imagegen

seaworld008/Commonly-used-high-value-skills

Use when the user asks to generate or edit images via the OpenAI Image API (for example: generate image, edit/inpaint/mask, background removal or replacement, transparent background, product shots, concept art, covers, or batch variants); run the bundled CLI (`scripts/image_gen.py`) and require `OPENAI_API_KEY` for live calls.

openai/imagegen

openai/codex

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.

browser-use/imagegen

browser-use/browser-harness-tui

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.

imagegen-frontend-web

mxyhi/ok-skills

Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.

imagegenskill

aipoch/medical-research-skills

Generate renderable, scientific-style SVG graphics directly from natural-language requirements (no image models). Use when users ask for an image/picture/scientific diagram/visualization poster or explicitly request SVG output for web-embeddable vector graphics.

imagekit-io-automation

ComposioHQ/awesome-claude-skills

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

imagemagick

TerminalSkills/skills

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imagen

sanjay3290/ai-skills

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imagen-v2

diegosouzapw/awesome-omni-skills

Imagen - AI Image Generation Skill workflow skill. Use this skill when the user needs AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

imagineer

QinghongLin/data2story-skill

Fan out MANY candidate interactive concepts from the data + narrative — the ideation pool the Editor curates a hero + supporting set from. Deliberate over-generation: one concept per finding worth making hands-on, each declaring its archetype, purpose, what the reader produces, and an honest feasibility (node-checked against the Analyst's client_model). Builds NOTHING on-page — img_xx concepts are internal and never reach HTML. Outputs imagineer.json after the Analyst, before the Editor.

imaging-data-commons

K-Dense-AI/scientific-agent-skills

Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.

imaging-mass-cytometry-cell-segmentation

swaruplab/operon

Segment single cells from multiplexed IMC/MIBI tissue images using Mesmer/DeepCell, Cellpose, or ilastik+CellProfiler, covering whole-cell vs nuclear segmentation, the summed-membrane-channel decision, nuclear-expansion bias, lateral spillover, resolution-floor parameters, and downstream-proxy evaluation. Use when delineating cells after preprocessing, choosing a segmentation model, building a cell mask for quantification, diagnosing impossible double-positive populations, or troubleshooting over/under-segmentation.

imaging-mass-cytometry-data-preprocessing

swaruplab/operon

Load and preprocess imaging mass cytometry (IMC) and MIBI data from raw MCD/TXT through hot-pixel removal, spillover compensation, and variance-stabilizing transformation, covering readimc/steinbock ingestion, NNLS spillover compensation (CATALYST), IMC-Denoise, and the IMC arcsinh-cofactor question. Use when starting analysis from raw MCD files, building per-channel TIFF stacks, compensating channel spillover, choosing an arcsinh cofactor, or preparing single-cell intensities for phenotyping.

imaging-mass-cytometry-differential-analysis

swaruplab/operon

Compare cell-type composition and spatial features across conditions in IMC/MIBI cohorts with the patient as the experimental unit, covering pseudoreplication, per-patient aggregation, mixed models, compositional (Dirichlet/scCODA) differential abundance, diffcyt, per-image-to-patient spatial differential testing (SpaceANOVA), batch covariates, and FDR. Use when testing whether a cell type or spatial niche differs between groups, avoiding cell-level pseudoreplication, choosing a differential-abundance method, or correctly powering an IMC cohort comparison.

imaging-mass-cytometry-interactive-annotation

swaruplab/operon

Interactive cell annotation and image QC for IMC/MIBI using napari, napari-imc, Mantis Viewer, and cytomapper, covering the pixels-to-cell-table bridge, overlaying masks to catch segmentation/spillover artifacts, inter-annotator variability as the accuracy ceiling, contrast-as-threshold, and building class-balanced ground-truth label sets. Use when manually labeling cells, generating training data for a classifier, QC-ing segmentation on the image, confirming clusters are spatially real, or choosing an annotation viewer.

imaging-mass-cytometry-phenotyping

swaruplab/operon

Assign cell types from marker expression in IMC/MIBI data using clustering (PhenoGraph/FlowSOM/Leiden/Pixie), marker-based probabilistic classifiers (Astir), or image-context CNNs (CellSighter), covering the double-positive segmentation artifact, lineage-vs-state markers, the two spillover types, and why a "cell type" in imaging is conditioned on a segmentation guess. Use when phenotyping segmented IMC cells, choosing clustering vs classification, diagnosing implausible double-positive populations, separating lineage from functional markers, or transferring labels across a cohort.

imaging-mass-cytometry-quality-metrics

swaruplab/operon

Quality control for IMC/MIBI data across pixel, channel, image, slide, and batch levels, covering Poisson-count SNR (cell-level Gaussian-mixture and empty-channel comparison), spillover-matrix QC (the three physical sources), drift and the missing EQ-bead analog, acquisition artifacts, and sample-of-origin batch effects. Use when deciding whether to keep or drop a channel, ROI, or slide, distinguishing a dim antibody from a failed one, reading a spillover matrix, or diagnosing batch-driven clustering before analysis.

imaging-mass-cytometry-spatial-analysis

swaruplab/operon

Analyze spatial cell-cell interactions, neighborhoods, and niches in IMC/MIBI data with squidpy and imcRtools, covering neighborhood-enrichment permutation nulls, the abundance-vs-density confound, inhomogeneous Ripley's K, cellular-neighborhood discovery, graph-construction (contact vs proximity), and edge effects. Use when testing whether cell types co-locate, choosing a spatial null, building a neighbor graph, discovering tissue niches, or deciding whether a spatial pattern is real or a density/segmentation artifact.

imap-pentesting

wgpsec/AboutSecurity

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imc-tuning-rules

elizaOS/eliza

Calculate PI/PID controller gains using Internal Model Control (IMC) tuning rules for first-order systems.

imcp

TerminalSkills/skills

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imessage

NousResearch/hermes-agent

Send and receive iMessages/SMS via the imsg CLI on macOS.