Browse Skills — Page 60

chi

TerminalSkills/skills

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chibi-style

arjun988/blender-skills

Chibi and SD proportion art direction for Blender characters with oversized heads, simplified anatomy, and cute silhouette rules.

chief-ai-officer-advisor

alirezarezvani/claude-skills

Use for AI strategy decisions: API vs fine-tune vs build, EU AI Act or US state risk classification, when self-hosting pays off, or AI hiring order. Runs model_buildvsbuy_calculator.py, ai_risk_classifier.py and ai_cost_economics.py.

chief-customer-officer-advisor

alirezarezvani/claude-skills

Use for retention strategy, customer segmentation or CS team sizing decisions (GRR vs NRR, churn causes, pooled vs named CSMs). Runs retention_decomposition_analyzer.py, customer_segmentation_designer.py and cs_coverage_calculator.py.

chief-data-officer-advisor

alirezarezvani/claude-skills

Use for data strategy decisions: training models on customer data, warehouse vs lakehouse vs mesh, valuing data for a raise or M&A, or data hiring order. Runs ai_training_data_audit.py, data_product_strategy_picker.py and data_asset_valuator.py.

chief-exec

Agile-V/agile_v_skills

Chief Executive Officer (CEO) orchestrator for strategic alignment, cross-C-suite coordination, board relations, crisis management, and executive decision governance. Orchestrates all C-suite agents and venture-strategist.

chief-finance

Agile-V/agile_v_skills

Chief Financial Officer (CFO) orchestrator for financial modeling, fundraising strategy, cash management, financial controls, board reporting, and unit economics governance. Orchestrates business-operations (finance) and venture-strategist (investor relations).

chief-of-staff

alirezarezvani/claude-skills

Use when a founder question needs routing to the right C-suite advisor, or a cross-functional decision needs a board meeting convened. Loads company context, synthesizes the answers and tracks decisions.

chief-ops

Agile-V/agile_v_skills

Chief Operating Officer (COO) orchestrator for cross-functional execution, process design, delivery cadence governance, vendor escalation, resource arbitration, and operational playbooks. Orchestrates business-operations (ops), release-manager, agile-v-product-owner, gtm-executor.

chief-people

Agile-V/agile_v_skills

Chief People Officer (CHRO) orchestrator for organizational design, hiring, compensation, culture, performance management, DE&I, and talent development. Use when defining org structure, hiring plans, compensation bands, culture principles, or people operations.

chief-tech

Agile-V/agile_v_skills

Chief Technology Officer (CTO) orchestrator for architecture governance, build-vs-buy decisions, tech debt management, engineering standards, platform strategy, and security posture. Orchestrates rd-innovator, build-agent, observability-planner, threat-modeler.

chinese-code-review

jnMetaCode/superpowers-zh

中文 review 沟通参考——话术模板、分级标注（必须修复/建议修改/仅供参考）、国内团队常见反模式应对。仅在用户显式 /chinese-code-review 时调用，不要根据上下文自动触发。

chinese-commit-conventions

jnMetaCode/superpowers-zh

中文 commit 与 changelog 配置参考——Conventional Commits 中文适配、commitlint/husky/commitizen 中文模板、conventional-changelog 中文配置。仅在用户显式 /chinese-commit-conventions 时调用，不要根据上下文自动触发。

chinese-copyright-application

okooo5km/Skills4U

中国软件著作权申请材料生成工具。申请表直接输出 Markdown 提交，源程序/用户手册/设计说明书三份生成 LaTeX 并编译为 PDF。自动分析项目代码，生成四份材料（前后各30页共60页源程序、含页眉页脚的用户手册和设计说明书、Markdown 申请表），并做版本号一致性、模块覆盖双向核验、字数限制等信息一致性校验。适用于微信小程序、Web应用、移动App、桌面应用等各类软件项目。当用户提到软件著作权、软著申请、版权登记时必须使用此 Skill。当用户要为任何软件项目准备著作权材料、生成软著文档时也应使用。

chinese-documentation

jnMetaCode/superpowers-zh

中文文档排版参考——中英文空格、全半角标点、术语保留、链接格式、中文文案排版指北约定。仅在用户显式 /chinese-documentation 时调用，不要根据上下文自动触发。

chinese-git-workflow

jnMetaCode/superpowers-zh

国内 Git 平台配置参考——Gitee、Coding.net、极狐 GitLab、CNB 的 SSH/HTTPS/凭据/CI 接入差异与镜像同步配置。仅在用户显式 /chinese-git-workflow 时调用，不要根据上下文自动触发。

chinese-novelist

openakita/openakita

Guide AI to write Chinese novels and fiction with structured character creation, plot architecture (起承转合), dialog writing, scene description, and genre-specific techniques for 玄幻, 都市, 悬疑, and 言情 genres.

chinese-writing

openakita/openakita

Enforce modern Chinese writing standards including tone, spacing rules (Pangu), full-width punctuation, paragraph structure, and active voice. Provides specific guidelines for blog posts, error messages, UI text, and technical documentation.

chipseq-allele-specific-binding

swaruplab/operon

Detects allele-specific transcription factor or histone modification binding from heterozygous-variant ChIP-seq using WASP (reference-bias filter; mandatory upstream), RASQUAL (joint QTL + bias-corrected testing), BaalChIP (Bayesian beta-binomial with copy-number-aware overdispersion), and AlleleSeq (personalized diploid genome). Handles imprinted-locus awareness, X-inactivation artifacts, cancer copy-number imbalance, and integration with downstream caQTL / bQTL mapping. Use when identifying variants with allelic effects on TF binding, fine-mapping causal regulatory variants, validating deep-learning variant predictions, or characterizing cis-acting regulatory effects.

chipseq-chip-deep-learning

swaruplab/operon

Trains and applies base-resolution deep learning models on ChIP-seq / ChIP-nexus / CUT&RUN data. Uses BPNet (Avsec 2021 Nat Genet 53:354; soft motif syntax from ChIP-nexus), chromBPNet (Pampari A et al 2025 Nat Genet; bias-factorized base-resolution profiles), EnFormer (Avsec 2021 Nat Methods 18:1196; 196 kb input, ~100 kb effective receptive field), DeepSEA (Zhou 2015; multi-task CNN), and JASPAR 2026 deep-learning collection (1259 BPNet ChIP models). Performs in silico mutagenesis for variant-effect prediction, DeepLIFT/Grad attribution, and TF-MoDISco motif discovery from attribution scores. Use when predicting variant effects on TF binding, discovering soft motif syntax / cooperativity, integrating ChIP-seq with sequence-only predictions, or applying precomputed JASPAR Deep Learning models to new variants.

chipseq-chromatin-state-segmentation

swaruplab/operon

Segments the genome into chromatin states from combinatorial histone modification and chromatin factor ChIP-seq data. Uses ChromHMM (multivariate HMM on binarized signal, v1.27), Segway (Dynamic Bayesian Network on continuous signal), EpiSegMix (flexible-distribution HMM with duration modeling, 2024), EpiLogos (multi-biosample visualization), IDEAS (cell-type-aware joint), and full-stack ChromHMM (Vu Ernst 2022) for cross-cell-type segmentations. Handles state-count selection (15 vs 18 vs 25 states), binarization choice, OverlapEnrichment / NeighborhoodEnrichment downstream analysis, and cross-biosample integration. Use when learning chromatin states from a histone mark panel, characterizing learned states by genomic feature enrichment, or comparing chromatin landscapes across cell types.

chipseq-cut-and-run-tag

swaruplab/operon

Analyzes CUT&RUN (Skene Henikoff 2017) and CUT&Tag (Kaya-Okur 2019) chromatin profiling data. Handles SEACR vs MACS2 peak calling (with the btaf375 2025 benchmark guidance), pA-MNase vs pA-Tn5 vs pAG-Tn5 chimera differences, E. coli spike-in carryover normalization, IgG-only control logic (no input), characteristic fragment-size signatures (25-75 bp for CUT&Tag), and lower depth requirements (5M reads typical vs 25M for ChIP). Use when calling peaks from CUT&RUN/CUT&Tag, scaling by E. coli spike-in carryover, choosing SEACR norm mode, or comparing CUT&RUN/Tag results to traditional ChIP.

chipseq-differential-binding

swaruplab/operon

Identifies differentially bound ChIP-seq regions between conditions using DiffBind, csaw (sliding windows), DESeq2/edgeR/PyDESeq2 on count matrices, NormR (control-aware), or MAnorm2. Distinguishes three distinct normalization problems (composition bias, trended bias, global shifts) and matches each to its appropriate fix including spike-in scaling. Use when comparing ChIP-seq binding between experimental conditions, choosing normalization for global vs local changes, integrating spike-in data, or reconciling DiffBind/DESeq2 disagreement.

chipseq-motif-analysis

swaruplab/operon

Discovers de novo motifs and tests known motif enrichment in ChIP-seq, ATAC-seq, or other peak sequences using HOMER, MEME-ChIP (STREME, CentriMo, TOMTOM, FIMO), monaLisa, and AME. Handles background selection (GC-matched, dinucleotide-shuffled, Markov order-2, peak-flanks), motif databases (JASPAR 2024 CORE PWMs, JASPAR 2026 deep-learning collection, HOCOMOCO v12, HOMER built-in), centrally-enriched motif testing, and differential motif analysis. Use when identifying TF binding motifs in peaks, testing for known TF enrichment, scanning for motif instances, comparing motif content between conditions, or interpreting motifs from deep learning models.

chipseq-peak-annotation

swaruplab/operon

Annotates ChIP-seq peaks to genomic features, nearest genes, ENCODE candidate cis-regulatory elements (cCREs), and regulatory domains. Uses ChIPseeker (R), HOMER annotatePeaks.pl (CLI), pyranges (Python), GREAT/rGREAT (regulatory domain gene-set enrichment), ChIP-Enrich (locus-length-adjusted), ENCODE SCREEN cCRE classification (PLS/pELS/dELS/CTCF-only/DNase-H3K4me3), and ENCODE-rE2G for cell-type-specific enhancer-gene linking. Handles nearest-TSS vs host-gene ambiguity, promoter window definition, and feature priority. Use when assigning genomic context to peaks, linking enhancer peaks to target genes, classifying peaks against ENCODE cCRE registry, or running gene-set enrichment on peak-associated genes.

chipseq-peak-calling

swaruplab/operon

Calls ChIP-seq peaks with MACS3, MACS2, HOMER, or SPP across narrow (TF) and broad (histone) modes. Handles input control matching, fragment-size modeling vs --nomodel, effective genome size, ENCODE-style IDR vs naive overlap, hyper-ChIPable artifacts, and aligner-specific shifts. Use when calling peaks from ChIP-seq alignments, choosing between narrow vs broad mode for a histone mark, deciding model vs nomodel for low-depth data, applying ENCODE pseudoreplicate IDR, or reconciling MACS vs HOMER vs SPP results.

chipseq-qc

swaruplab/operon

Assesses ChIP-seq quality across antibody specificity, fragmentation, enrichment, replicate concordance, and library complexity. Computes FRiP, NSC/RSC (phantompeakqualtools), library complexity (NRF/PBC1/PBC2), deepTools plotFingerprint (JS distance, AUC, synthetic JS), ChIPQC, IDR with ENCODE Nself/Nt rules, and detects hyper-ChIPable artifacts. Use when validating an antibody, diagnosing failed peak calls, deciding whether to proceed with downstream analysis, grading against ENCODE thresholds, or auditing replicate concordance.

chipseq-spike-in-normalization

swaruplab/operon

Normalizes ChIP-seq data using exogenous spike-in (ChIP-Rx with Drosophila chromatin per Orlando 2014 / Egan 2016; E. coli carryover for CUT&RUN/CUT&Tag). Distinguishes RRPM from Rx-Input scaling, integrates with DiffBind / DESeq2 / edgeR / csaw via sizeFactors and DiffBind library-size vectors, and applies the Patel et al 2024 *Nat Biotechnol* review's failure-mode framework to validate that normalization is correctly applied at the read level (not peak counts). Use when global signal shifts are expected (HDACi, BETi, EZH2i, dosage, target knockdown), when ChIPseqSpikeInFree detects post-hoc shifts, or when validating internal-control regions before publication.

chipseq-super-enhancers

swaruplab/operon

Identifies super-enhancers from H3K27ac, MED1, or BRD4 ChIP-seq using ROSE, ROSE2, LILY, HOMER -style super, and ENCODE dELS cross-referencing. Handles peak stitching parameters, ranking choices, hockey-stick inflection, marker choice (H3K27ac vs MED1/BRD4), and cross-condition comparison with spike-in normalization. Constructs core regulatory circuitry (Saint-Andre 2016) from SE-encoded TFs. Use when identifying cell-identity / cancer-associated regulatory domains, comparing super-enhancers between conditions, identifying master transcription factor networks, or predicting BET-inhibitor responsiveness.

chipseq-visualization

swaruplab/operon

Visualizes ChIP-seq data using deepTools (computeMatrix, plotHeatmap, plotProfile, bamCoverage, bamCompare), pyGenomeTracks (modern INI-driven track plots), Gviz (R browser-style), EnrichedHeatmap (ComplexHeatmap-based), ChIPseeker tag heatmaps, and IGV batch screenshots. Handles bigWig normalization choices (CPM, BPM, RPGC, spike-in scaled), bamCompare operations (log2 ratio, subtract, SES), k-means clustering of heatmaps for biological subgrouping, and spike-in-scaled tracks for global-shift experiments. Use when generating publication-quality ChIP-seq signal heatmaps, profile plots, genome-browser tracks, or comparing samples visually.

chmeetings-automation

ComposioHQ/awesome-claude-skills

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

choose-stack

686f6c61/alfred-dev

Usar para evaluar y elegir tecnologías con matriz de decisión ponderada. Activar cuando el usuario quiera elegir tecnología, comparar frameworks, decidir entre alternativas técnicas, construir una matriz de decisión, evaluar stack, seleccionar base de datos, elegir lenguaje o comparar herramientas.

anthropics/choose-zoom-approach

anthropics/knowledge-work-plugins

Choose the right Zoom architecture for a use case. Use when deciding between REST API, Webhooks, WebSockets, Meeting SDK, Video SDK, Zoom Apps SDK, Zoom MCP, Phone, Contact Center, or a hybrid approach.

openai/choose-zoom-approach

openai/plugins

Use when choosing architecture.

choosing-swarm-patterns

AgentWorkforce/relay

Use when coordinating multiple AI agents and need to pick the right orchestration pattern - covers 10 patterns (fan-out, pipeline, hub-spoke, consensus, mesh, handoff, cascade, dag, debate, hierarchical) with decision framework and reflection protocol

chorus

Chorus-AIDLC/Chorus

Chorus AI Agent collaboration platform — overview, tools, and workflow routing.

chorus-proposal-reviewer

Chorus-AIDLC/Chorus

Read-only Chorus proposal reviewer. Fetches a proposal via MCP, audits PRD/task drafts against the originating Idea, and posts a structured VERDICT comment. Invoke by mounting this skill into a default sub-agent via spawn_agent(agent_type="default", items=[{ type: "skill", path: "chorus:chorus-proposal-reviewer", ... }, { type: "text", text: "Review proposal <uuid>. Max review rounds: 3." }]).

chorus-task-reviewer

Chorus-AIDLC/Chorus

Read-only Chorus task reviewer. Fetches a task plus its acceptance criteria plus originating proposal documents via MCP, independently verifies the implementation, and posts a structured VERDICT comment. Invoke by mounting this skill into a default sub-agent via spawn_agent(agent_type="default", items=[{ type: "skill", path: "chorus:chorus-task-reviewer", ... }, { type: "text", text: "Review task <uuid>. Max review rounds: 3." }]).

chro-advisor

alirezarezvani/claude-skills

People strategy: hiring plans, comp bands, org structure, performance, retention. Use whenever the user asks who to hire, what to pay, how to structure teams or why staff leave.

chroma

NousResearch/hermes-agent

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.

chromadb

mkurman/zorai

Chroma — AI-native embedding database. In-process, lightweight vector store with automatic embedding, metadata filtering, and full-text search. Simplest path from prototype to production RAG.

chromajs

TerminalSkills/skills

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chromatic

TerminalSkills/skills

When the user wants to perform visual regression testing with Storybook integration using Chromatic. Also use when the user mentions "chromatic," "visual regression," "Storybook testing," "UI review," "visual diff," or "component snapshot testing." For general screenshot comparison, see percy.

chrome-automation

aAAaqwq/AGI-Super-Team

Chrome 浏览器自动化操作。当用户需要自动化浏览器操作、网页测试、数据抓取或 UI 自动化时使用此技能。

chrome-devtools

github/awesome-copilot

'Expert-level browser automation, debugging, and performance analysis using Chrome DevTools MCP. Use for interacting with web pages, capturing screenshots, analyzing network traffic, and profiling performance.'

chrome-devtools

tech-leads-club/agent-skills

Browser debugging, performance profiling, and automation via Chrome DevTools MCP. Use when user says "debug this page", "take a screenshot", "check network requests", "profile performance", "inspect console errors", or "analyze page load". Do NOT use for full E2E test suites (use playwright-skill) or non-browser debugging.

chrome-extension

samber/cc-skills

Comprehensive guide for building Chrome extensions with Manifest V3. Use this skill whenever the user mentions Chrome extension, browser extension, manifest.json, content script, service worker (in extension context), popup, side panel, chrome.runtime, chrome.tabs, chrome.storage, chrome.scripting, background script, MV3, Manifest V3, or any Chrome extension API. Also trigger when the user wants to inject scripts into web pages, communicate between page and background, bypass CSP from a content script, build an RPC layer over chrome messaging, or publish to the Chrome Web Store. Covers both new extension projects and adding features to existing ones. Do NOT use for framework-specific questions.

chrome-extension-developer

diegosouzapw/awesome-omni-skills

chrome-extension-developer workflow skill. Use this skill when the user needs Expert in building Chrome Extensions using Manifest V3. Covers background scripts, service workers, content scripts, and cross-context communication and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

chrome-extension-developer-v2

diegosouzapw/awesome-omni-skills

chrome-extension-developer workflow skill. Use this skill when the user needs Expert in building Chrome Extensions using Manifest V3. Covers background scripts, service workers, content scripts, and cross-context communication and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

chrome-mcp-troubleshooting

trailofbits/skills

Diagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return "Browser extension is not connected", or behave erratically.

chromosome_analysis

InternScience/scp

Chromosome Structure Analysis - Analyze chromosome: NCBI summary, UCSC cytoband, genome sequence, and Ensembl assembly info. Use this skill for cytogenetics tasks involving get chromosome summary get cytoband get chromosome sequence get info assembly. Combines 4 tools from 3 SCP server(s).

obra/chronicle

obra/dotfiles

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microsoft/chronicle

microsoft/vscode

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting session data.

chronologie

Klotzkette/claude-fuer-deutsches-recht

Aufbau oder Aktualisierung einer Sachverhalts-Chronologie aus Dokumentenquellen und Uploads – datierte Ereignisse werden extrahiert, dedupliziert und nach Bedeutung für die Mandatstheorie markiert. Verwenden, wenn der Nutzer eine Chronologie oder einen Zeitstrahl aus einer Produktion oder Mandatsakte erstellen möchte, „Chronologie aus den Unterlagen\" oder „was ist wann passiert\" sagt oder einen Arbeits-, Sachverhaltdarstellungs- oder Zeugen-Zeitstrahl benötigt.

chronology

anthropics/claude-for-legal

Build or update a chronology from declared document sources and uploads — dated events extracted, de-duped, and tagged by significance per the matter theory. Use when the user asks to build a chronology or timeline from a production or matter file, says "chron from the production" or "what happened when", or needs a working, statement-of-facts, or witness-specific timeline.

chunk

openai/plugins

Use CircleCI Chunk for AI-assisted CI/CD work through either the Chunk web UI or the chunk-cli. Trigger this skill when users ask to set up Chunk, troubleshoot or fix failing builds with Chunk, configure Chunk environments, schedule/proactively run Chunk tasks, or use chunk-cli commands such as init, validate, build-prompt, auth, sandbox, task, and skill install.

chunking-strategy

giuseppe-trisciuoglio/developer-kit

Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages (10-20%), and semantic boundary detection methods. Validates semantic coherence and evaluates retrieval precision/recall metrics. Use when building retrieval-augmented generation systems, vector databases, or processing large documents.

churn-analysis

mohitagw15856/pm-claude-skills

Analyse customer churn for a product or cohort and produce a structured churn report. Use when asked to analyse churn, understand why customers are leaving, identify churn patterns, calculate churn rate, or build a churn reduction plan. Produces a churn analysis with rate calculations, categorised reasons, early warning signals, and prioritised interventions.

churn-autopsy

OneWave-AI/claude-skills

Post-mortem analysis when a client churns. Takes client history, engagement data, support tickets, usage logs, and exit feedback to produce a comprehensive churn autopsy with root cause classification, timeline of decline, and preventive measures.

churn-prediction

guia-matthieu/clawfu-skills

Identify at-risk customers using behavioral signals, engagement patterns, and health indicators before they cancel

churn-prevention

alirezarezvani/claude-skills

Use when designing a cancel flow, save offers, exit surveys or dunning emails, or cutting failed-payment churn. Sizes the revenue at stake with churn_impact_calculator.py first. Health scores and expansion: customer-success-manager.

churn-prevention

coreyhaines31/marketingskills

When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers or wants to build systems to prevent it. For post-cancel win-back email sequences, see emails. For in-app upgrade paywalls, see paywalls.

churn-prevention-v2

diegosouzapw/awesome-omni-skills

Churn Prevention workflow skill. Use this skill when the user needs Reduce voluntary and involuntary churn with cancel flows, save offers, dunning, win-back tactics, and retention strategy. Use when users are cancelling, failed payments are rising, or subscription retention needs improvement and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

churn-rca

t0ddc3by/claude-for-customer-success

Root cause analysis for individual customer churn events and cohort-level churn pattern analysis. Produces structured RCA with root cause taxonomy, contributing factors, timeline reconstruction, and remediation pathway. Scoped to full cancellation — contract contraction redirected to renewals:downgrade-analysis.

churn-risk

indranilbanerjee/digital-marketing-pro

Assess customer churn risk. Use when: churn scoring, at-risk segment identification, intervention playbook generation.

churn-risk-detector

gooseworks-ai/goose-skills

>

churn-risk-review

Significant-Gravitas/skills-catalog

Review churn risk from dated usage, outcome, support, relationship, and contract evidence, then propose the next check.

ci

kweaver-ai/kweaver-dip

本文档描述持续集成相关流程

CI Accessibility

Community-Access/accessibility-agents

CI/CD accessibility agent. Sets up, manages, and troubleshoots accessibility CI pipelines. Supports baseline management, SARIF output, PR annotations, and threshold configuration. Works with GitHub Actions, Azure DevOps, GitLab CI, CircleCI, and Jenkins.

ci-artifact-testing

microsoft/vscode

Use when validating an upstream pull request or dependency fix against VS Code tests using GitHub Actions CI build artifacts instead of building locally. Covers finding compatible binaries, verifying PR and merge-commit provenance, selecting a candidate runtime or build, comparing unchanged regression tests, and restoring the baseline.

ci-cd

EliasOulkadi/shokunin

Design CI/CD pipelines for GitHub Actions, GitLab CI, and CircleCI with matrix builds, test sharding, caching, Docker layer caching, OIDC auth, deployment strategies (rolling, blue-green, canary), auto-rollback, self-hosted runners, and environment protection with manual approvals. Use when user asks to set up CI/CD, write a pipeline, configure GitHub Actions/GitLab CI/CircleCI, automate deployments, or set up build/test/deploy workflows. Do NOT use for Dockerfile authoring (use docker), K8s manifests (use kubernetes), or Terraform config (use terraform).

ci-cd-and-automation

addyosmani/agent-skills

Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.

ci-cd-patterns

softspark/ai-toolkit

CI/CD: GitHub Actions, GitLab CI, Jenkins, caching, blue-green, canary. Triggers: CI, CD, pipeline, GitHub Actions, workflow YAML, release, canary, rollout.

ci-cd-pipeline

686f6c61/alfred-dev

Configurar pipeline CI/CD adaptado al proyecto. Activar cuando el usuario quiera configurar CI, crear GitHub Actions, configurar GitLab CI, montar un pipeline de despliegue, automatizar tests o implementar integracion continua.

ci-cd-pipeline-builder

alirezarezvani/claude-skills

Set up or refactor CI/CD for a repo: detect the stack, generate pipeline YAML. Use whenever the user wants builds or tests to run on each push or needs a CI workflow file.

ci-cd-security

superagent-ai/skills

Scan GitHub Actions workflow files for security vulnerabilities by reading the YAML and reporting findings directly — no external tools, no installation, no shell execution. Use this skill whenever the user shares a `.github/workflows/` file, pastes workflow YAML, asks for a CI/CD security review, mentions `pull_request_target`, `workflow_run`, action pinning, `GITHUB_TOKEN` permissions, pwn requests, template injection, cache poisoning, secret exfiltration, supply chain risk, or any GitHub Actions hardening topic. Also trigger when the user is hardening an OSS repo, doing a CI/CD red team assessment, evaluating a target for supply-chain scanning, or writing publicly about CI/CD security. Bias toward triggering this skill rather than answering from memory — CI/CD security defaults are wrong almost everywhere and the rules are unintuitive.

ci-failure-retrieval

NVIDIA/skills

Retrieve and diagnose CI test failures from TensorRT-LLM pull requests using the GitHub API and Jenkins testReport API. Use when the user asks about CI failures on a PR, wants to see failed test details, or needs stdout/stderr from a CI run.

ci-generate

hrconsultnj/claude-plugins

Generate CI/CD workflow from detected stack. GitHub Actions, GitLab CI, or Bitbucket Pipelines. Includes lint, typecheck, test, build, and deploy stages.

ci-integration

Community-Access/accessibility-agents

CI/CD accessibility pipeline patterns, axe-core CLI configuration, SARIF output, PR annotations, baseline management, and multi-platform CI templates. Use when setting up or troubleshooting automated accessibility scanning in CI pipelines.

ci-maintenance-workflow

UKGovernmentBEIS/inspect_evals

CI and GitHub Actions maintenance workflows — fix a failing test from a CI URL, fix a failing smoke test, add @pytest.mark.slow markers to slow tests, or review a PR against agent-checkable standards. Use when user asks to fix a failing test, fix a smoke test, mark slow tests, or review a PR. Trigger when the user asks you to run the "Write a PR For A Failing Test", "Fix A Failing Smoke Test", "Mark Slow Tests", or "Review PR According to Agent-Checkable Standards" workflow.

ci-mockup-figure

yzhao062/anywhere-agents

Create space-efficient figures for papers and proposals. HTML mockups for systems, dashboards, and timelines; TikZ or skia-canvas for abstract diagrams with arrow routing. Covers tool selection, design, capture, and LaTeX insertion. The primary goal is maximizing information per page — every figure must earn its space.

ci-readiness-check

microsoft/FluidFramework

Use when the user explicitly asks for a CI check or to push their branch — e.g. "ci readiness", "check ci", "pre-push check", "ready for CI", "ci check", "ready to push", "push my changes", "push the branch", "let's push". Catches common CI failures before pushing — formatting, stale API reports, missing changesets, policy violations.

ci-test-claude-skill

pr-pm/prpm

CI Test Claude Skill

ci-test-codex-skill

pr-pm/prpm

CI Test Codex Skill

ci-test-droid-skill

pr-pm/prpm

CI Test Factory Droid Skill

ci-test-failures

microsoft/aspire

Guide for diagnosing GitHub Actions test failures, extracting failed tests from runs, and creating or updating failing-test issues. Use this when asked to investigate GitHub Actions test failures, download failure logs, create failing-test issues, or debug CI issues.

ci-validate

hrconsultnj/claude-plugins

Validate CI/CD workflow files. Runs actionlint for GitHub Actions, checks for common mistakes, and reports issues with fix suggestions.

ci-validation-gates

microsoft/aitour26-BRK445-building-enterprise-ready-ai-agents-with-microsoft-foundry

Defensive CI/CD patterns: semver validation, token checks, retry logic, draft detection — earned from v0.8.22

ci-watch-and-fix

Fr-e-d/GAAI-framework

Watch GitHub Actions CI after PR creation, detect failures, extract logs, apply minimal fixes, and re-push — keeping the delivery session alive until CI resolves or escalating after 3 cycles. Activate immediately after gh pr create and before marking the story done.

cicd

NVIDIA/Megatron-LM

CI/CD reference for Megatron-LM. Covers CI pipeline structure, PR scope labels, triggering internal GitLab CI, and CI failure investigation.

cicd-automation-workflow-automate

benjaminasterA/antigravity-awesome-skills

You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design automation that reduces manual work, i...

cicd-pipeline

TerminalSkills/skills

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cicd-pipeline-attack

wgpsec/AboutSecurity

CI/CD 流水线与供应链攻击方法论。当发现目标使用 GitHub Actions/Jenkins/GitLab CI/CircleCI/Terraform Cloud/Atlantis 等 CI/CD 系统、需要测试流水线安全性、或发现 .github/workflows/Jenkinsfile/.gitlab-ci.yml 等配置文件时使用。覆盖 PPE（Poisoned Pipeline Execution）三种攻击模式（D-PPE/I-PPE/3PE）、VCS 代码仓库攻击面（代码泄露/Webhook 滥用/分支保护绕过）、Pipeline Secrets 窃取与横向移动、以及从 CI/CD 到云环境的穿越路径

cicd-playbook

mohitagw15856/pm-claude-skills

Write a CI/CD pipeline playbook for a service or team. Use when asked to document a CI/CD pipeline, write a deployment process, define release gates, document build and test stages, or create a deployment guide. Produces a structured playbook covering pipeline stages, environment definitions, deployment gates, rollback procedures, and on-call responsibilities.

cim-builder

anthropics/financial-services

Structure and draft a Confidential Information Memorandum for sell-side M&A processes. Organizes company information into a professional, investor-ready document with consistent formatting and narrative flow. Use when preparing sell-side materials, drafting a CIM, or organizing company data for a sale process. Triggers on "CIM", "confidential information memorandum", "offering memorandum", "info memo", "draft CIM", or "sell-side materials".

cincopa-automation

ComposioHQ/awesome-claude-skills

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

cinematic-video-gen

aAAaqwq/AGI-Super-Team

AI视频生成质量增强引擎。解决AI视频角色僵硬、表情空白、动作机械的问题。通过高级prompt工程+角色卡+运镜指令+表情库，让AI视频角色活起来。触发词：视频质量、角色僵硬、灵动、表情、动作、cinematic video、视频生成增强、MV视频、角色动画

cinematographer

QinghongLin/data2story-skill

Design the MANDATORY cinematic scroll experience (every blog ships one): a full-bleed, scroll-driven background — primarily from the Scout's verified real imagery — plus the global motion choreography, so the narrative unfolds like a film as the reader scrolls. Owns the BACKGROUND layer + page-level motion (not the Designer's per-section visuals, not the Interaction centerpiece — it stages them inside the scroll). Outputs cinematographer.json (cin_xx scenes). There is no off path: a topic with no sourceable real imagery falls back to a generative-atmosphere or data-driven-spine background, never to a bare column.

circleci-automation

benjaminasterA/antigravity-awesome-skills

Automate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. Always search tools first for current schemas.

circleci-automation-v2

diegosouzapw/awesome-omni-skills

CircleCI Automation via Rube MCP workflow skill. Use this skill when the user needs Automate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. 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.