Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
45,100 skills from 2,196 repositories · updated 10 hours ago
3,187 skills
- rhetorical-analystinfranodus/skillsAnalyze arguments, debate tactics, and rhetorical moves across three dimensions: persuasion, rhetoric, and logic. Use when the user wants to analyze a debate, comment thread, speech, article, or any argumentative text — identifying moves, scoring effectiveness, exposing hidden assumptions, tracking logical gaps, and checking for asymmetric standards. When InfraNodus MCP tools are available, ALWAYS begin with generate_topical_clusters, generate_content_gaps, and optimize_text_structure before linear reading. Also use to stress-test arguments or understand why something feels persuasive but wrong. Trigger on: "analyze this argument", "what's wrong with this reasoning", "is this a good point", "what rhetorical moves are being used", "why is this persuasive", "break down this debate", or when a user shares text asking what's going on rhetorically.TestingNo warnings★ 122↓ —
- corefishzjp/qa-skillsqa-skills shared knowledge base — dependency, NOT triggerable: executability standards, evidence grading, risk model, type matrix, templates, scripts. Never invoke standalone; always install with the skills, or references break. 共享知识库（依赖单元，非触发 skill）：承载全系列引用的方法/模板/脚本。任何测试任务不要独立触发；装其他 skill 必须连装。TestingNo warnings★ 52↓ —
- finalizeskillberry-ai/cap-evolveScore the best candidate on the held-out TEST split exactly once and seal the run. Use as the last evaluation step, after optimization stops. The run dir enforces the seal — a second finalize raises an error — so the headline number is produced once on data the optimizer never saw, the way an honest benchmark result must be.TestingNo warnings★ 66↓ —
- skill-conductorsmixs/skill-conductorCreate, edit, evaluate, and package agent skills. Use when building a new skill from scratch, improving an existing skill, fixing a skill that never triggers or fires unreliably, running evals to test a skill, benchmarking skill performance, optimizing a skill's description, reviewing third-party skills for quality, or packaging skills for distribution — even if the user doesn't explicitly say "skill" (e.g. "teach Claude to do X", "make the agent always follow Y"). Not for using skills or general coding tasks.TestingNo warnings★ 185↓ —
- isms-audit-expertborghei/Claude-SkillsISMS auditing for ISO 27001 compliance, control assessment, and certification support. Use for ISMS audit programs, internal/external ISO 27001 audits, ISO 27002 Annex A control testing, and Stage 1/Stage 2 certification audits.TestingNo warnings★ 981↓ —
- foreman-tddVisionForge-OU/foremanStack-agnostic test-driven development loop for a single Foreman issue. Implements one vertical slice with strict red-green-refactor (one test at a time, never horizontal slicing) using the foreman-test wrapper, saves completion evidence, then emits a machine-readable FOREMAN-SUMMARY block Foreman parses.TestingNo warnings★ 443↓ —
- foreman-web-testingVisionForge-OU/foremanHeadless end-to-end / web-app testing for the Foreman e2e stage. Derive end-to-end tests from the PRD's User Flows, drive the real application the way a user would (browser flows, screenshots, accessibility checks for web apps), make them pass via the configured e2e command, and emit the FOREMAN-SUMMARY block Foreman parses.TestingNo warnings★ 443↓ —
- testdriver:running-teststestdriverai/testdriveraiRun TestDriver tests with Vitest test runnerTestingNo warnings★ 464↓ —Also in 1 other repo
- testdriver:secretstestdriverai/testdriveraiSecurely manage passwords and sensitive data in your testsTestingNo warnings★ 464↓ —
- testdriver:screenshotstestdriverai/testdriveraiCapture and manage screenshots during test executionTestingNo warnings★ 464↓ —
- performance-memocognyai/claude-code-marketing-skillsThe Monday memo a sharp analyst would write — joins spend on every ad platform to qualified calls, deals, revenue, refunds and churn per campaign ID, catches cheap customers who churn, and ends every line in a decision — keep, kill, change or testTestingNo warnings★ 111↓ —
- test-research-codeShaishavMaisuria/research-paper-lifecycle-skillsMake research code runnable and repeatable for artifact review by auditing README, dependencies, seeds, entrypoints, data instructions, result commands, and smoke tests with repro_check.py. Use for smoke tests, seed pinning, environment capture, reproducibility checks, or works-on-my-machine cleanup.TestingNo warnings★ 55↓ —
- tdd-guideborghei/Claude-SkillsGuide red-green-refactor TDD with test generation, coverage-gap analysis, and multi- framework support. Use when writing tests first, analyzing coverage, generating test stubs, or converting tests between Jest, Pytest, JUnit, and Vitest.TestingNo warnings★ 981↓ —
- orchestrateskillberry-ai/cap-evolveDrive the entire cap-evolve pipeline end to end, autonomously. Use when the user wants the whole optimization run with minimal hand-holding. Sequences intake → implement-and-check → baseline → the chosen algorithm loop → finalize → report, enforces the cap-evolve-check hard gate before spending budget, decides when to stop (budget/stall), and surfaces the honest test number at the end. Reads capevolve.yaml; respects the ask-user-if-missing rule for inputs.TestingNo warnings★ 66↓ —
- testdriver:test-writertestdriverai/testdriveraiAn expert at creating and refining automated tests using TestDriver.aiTestingNo warnings★ 464↓ —
- testdriver:self-hostedtestdriverai/testdriveraiOur enterprise solution with unlimited test execution, assisted setup, and dedicated support.TestingNo warnings★ 464↓ —
- nw-executenWave-ai/nWaveUse when a DELIVER roadmap already exists and you need to dispatch exactly one identified step through its TDD cycle. Use nw-roadmap to create the plan, nw-deliver for the whole wave, and nw-continue to resume at the next inferred step.TestingReview first★ 623↓ —
- agent-optimizeskillberry-ai/cap-evolveFree-form optimization algorithm for agent orchestration mode: the conversational agent owns the whole search — reading a digest, proposing big coherent capability edits against failure-cluster hypotheses, probing only missing cells, promoting or pruning on a posterior, merging complementary branches, and sealing test once. Use when orchestration_mode is agent and algorithm_skill is agent-optimize. For a deterministic loop use hill-climb, gepa or skillopt instead.TestingNo warnings★ 66↓ —
- testdriver:ci-cdtestdriverai/testdriveraiRun TestDriver tests in CI/CD with parallel execution and cross-platform supportTestingNo warnings★ 464↓ —
- statistical-analystborghei/Claude-SkillsApplied statistics for business and product questions — test selection, assumption checks, power planning, effect sizes with intervals, multiplicity correction. Use when interpreting an experiment, sizing a study, or vetting a claim.TestingNo warnings★ 981↓ —
- ab-test-setupborghei/Claude-SkillsDesign and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.TestingNo warnings★ 981↓ —
- product-designerborghei/Claude-SkillsProduct design across UI/UX, design systems, prototyping, and user research. Use when creating user journey maps, building wireframes, defining design tokens and component systems, planning usability tests, or establishing design principles.TestingNo warnings★ 981↓ —
- foreman-verifyVisionForge-OU/foremanHeadless self-verification gate a Foreman worker runs before it claims an issue is done. Re-run the real commands, read the actual output, and only then write the FOREMAN-SUMMARY — evidence before claims, always. Used inside a foreman-tdd build session; emits no summary of its own.TestingNo warnings★ 443↓ —
- ab-test-setupborghei/Claude-SkillsDesign and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."TestingNo warnings★ 981↓ —