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.
49,409 skills from 2,375 repositories · updated 4 hours ago
48,362 skills
- the-strong-nomohitagw15856/pm-claude-skillsFind the real reason to NOT do the exciting thing you're about to commit to — the honest case against, before the excitement carries you in. Use when asked talk me out of this, should I really do this, what's the case against, or I'm excited but is this a mistake. Produces the strongest honest argument for not doing it, the excitement biases clouding your judgment, the specific conditions under which this is a bad idea for you, and a clear read on whether the strong no actually wins — protecting you from the plans that feel great and end badly.PlanningNo warnings★ 1.5K↓ —
- product-strategistUpdatedalirezarezvani/claude-skillsHead of Product: quarterly OKRs cascaded from company to team, product vision, roadmap, team structure. Use whenever the user asks to set OKRs, a vision or roadmap, or align teams on strategy.PlanningNo warnings★ 29.2K↓ —
- cav-review-processbrycewang-stanford/Awesome-Journal-SkillsUse when reasoning about how a CAV (Computer Aided Verification) submission is evaluated, covering the two-stage reviewing process (two reviews then an early-reject filter, then two more reviews with a rebuttal), the partial double-anonymity by category, the accept/reject outcome, the optional non-conditional artifact evaluation, and how CAV differs from TACAS and FMCAD.EngineeringNo warnings★ 1.4K↓ —
- false-green-testsreticlehq/reticleFind out why the tests pass but the app is broken. Catches false greens: a green suite over a feature that does not work, a mocked API standing in for a real one, an assertion that holds no matter what the app does, a click handler wired to nothing. Use when the suite is green and the user says it is broken, when a test never fails, when coverage looks fine but bugs still ship, or before trusting a passing run you did not watch.TestingNo warnings★ 1.3K↓ —
- migration-architectUpdatedalirezarezvani/claude-skillsPlan a safe database, schema, service or data migration: phased plan, compatibility check and rollback scripts. Use whenever the user must move data, change a live schema, switch databases or migrate without downtime.PlanningNo warnings★ 29.2K↓ —
- senior-frontendUpdatedalirezarezvani/claude-skillsBuild and review React, Next.js, TypeScript or Tailwind frontends: components, scaffolding, performance and bundle size. Use whenever the user wants a new component or app, a page feels slow, the bundle is too big, or asks for a frontend code review.DesignNo warnings★ 29.2K↓ —
- senior-fullstackUpdatedalirezarezvani/claude-skillsStart a fullstack project or audit a codebase: pick a stack (Next.js, FastAPI, MERN, Django), scaffold it and score code quality. Use whenever the user asks which stack to use, wants a new web app set up, or asks how good or messy their codebase is.EngineeringNo warnings★ 29.2K↓ —
- mcp-operationshoangsonww/Claude-Code-Agent-MonitorOperate and maintain the local MCP server for this project. Use when creating MCP host config, troubleshooting tool connectivity, modifying tool domains, or adjusting safety policy flags.OtherNo warnings★ 1.1K↓ —
- agenthubUpdatedalirezarezvani/claude-skillsRun several agents on one task in parallel and keep the best result: faster code, copy variants, research angles. Use whenever the user wants multiple attempts compared or best of N; spawns agents in git worktrees, ranks and merges the winner.ScienceNo warnings★ 29.2K↓ —
- cpo-advisorUpdatedalirezarezvani/claude-skillsProduct leadership: PMF measurement, product vision, portfolio investment, product org design, board product reporting. Use whenever the user asks if they have PMF or how to split investment across products.DesignNo warnings★ 29.2K↓ —
- chi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the studies behind an ACM CHI paper — matching evidence shape to contribution type, powering quantitative experiments, making qualitative work rigorous and auditable, reporting participants and ethics properly, and avoiding the ADR-Data and ADR-Method screening grounds.ScienceNo warnings★ 1.4K↓ —
- hri-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the human-subjects study at the heart of an ACM/IEEE HRI full paper — choosing between/within-subjects designs, running Wizard-of-Oz honestly, powering the sample, reporting statistics with effect sizes and qualitative rigor, selecting validated scales, adding manipulation checks, pre-registering, and meeting HRI's human-participants ethics obligations.ScienceNo warnings★ 1.4K↓ —
- mcp-server-builderalirezarezvani/claude-skillsUse when exposing an API as an MCP server or scaffolding a new MCP server in Python or TypeScript, before hand-writing tool wrappers. Generates tools from OpenAPI with openapi_to_mcp.py and validates them with mcp_validator.py.WritingNo warnings★ 29.2K↓ —
- dac-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical evaluation of an ACM/IEEE Design Automation Conference (DAC) Research Manuscript, covering standard EDA benchmark suites (ISPD, EPFL, ISCAS/ITC, TAU, CircuitNet, OpenROAD flows), fair state-of-the-art baselines, QoR/PPA reporting with runtime, per-benchmark honesty, ablations that isolate the mechanism, and contamination-aware ML-for-EDA evaluation.DesignNo warnings★ 1.4K↓ —
- jama-scope-fitbrycewang-stanford/Awesome-Journal-SkillsUse when judging whether a clinical study clears JAMA's general-medical-importance bar before investing in a full submission. Assesses fit and article-type match; it does NOT design the study or write the paper.DesignNo warnings★ 1.4K↓ —
- 02-rl-rewardagentscope-ai/OpenJudgeBuild RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies based on RL algorithm, task type, and cost; aggregating multi-dimensional pointwise scores into a scalar reward; pairwise tournament reward for GRPO on subjective tasks (net win rate across group rollouts); generating preference pairs for DPO/RLAIF; and normalizing scores for training stability. Use when building reward models, scoring rollouts for GRPO/REINFORCE, generating preference data for DPO, or doing Best-of-N selection.ProductivityNo warnings★ 1K↓ —
- senior-qaUpdatedalirezarezvani/claude-skillsWrite and improve tests for React or Next.js apps: Jest, React Testing Library, MSW mocks, Playwright E2E, coverage gaps. Use whenever the user asks to add tests to a component or page, mock an API, set up end-to-end tests or raise coverage.TestingNo warnings★ 29.2K↓ —
- seo-auditUpdatedalirezarezvani/claude-skillsFind why a site is not ranking: technical SEO, on-page issues, meta tags, site health. Use whenever the user asks why a page is not on Google, why traffic dropped or for an SEO audit.MarketingNo warnings★ 29.2K↓ —
- explore-unknownsdzhng/skillsGuide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the codebase or domain is unfamiliar, the user will "know it when they see it", a reference implementation must be understood before porting, mid-build deviations from the plan need capturing, or a finished change needs buy-in or verified understanding before merge. Pairs with [write-spec](../write-spec/SKILL.md) — walk the quadrants to burn off fog before slicing, and feed the finished map into the spec.WritingNo warnings★ 1.4K↓ —
- metric-designagentscope-ai/OpenJudgeUse when the user has evaluation principles or a dataset but needs help choosing the right graders, designing evaluation metrics, creating LLM-as-judge prompts, combining multiple metrics into a composite score, or building an automated evaluation pipeline. Also use when the user mentions grader selection, metric design, judge prompt engineering, rubric design, evaluation pipeline code, or "how to evaluate [X] automatically." Outputs executable OpenJudge pipeline code.DesignNo warnings★ 1K↓ —
- app-builderUpdatedmicrosoft/power-platform-skillsBuilds and edits a model-driven Power Apps app from a natural-language intent — tables, columns, relationships, adaptive forms with sub-grids, views, Choice-column charts, business rules, business process flows, generative page intents for overview/dashboard surfaces, and an app module + sitemap. Runs an interactive authoring flow with plan approval and can download a deployed app back into an editable spec to change it. Use when the user says "build an app for X", "create a model-driven app", "make me an app to manage Y", "add a business process flow", or "edit/add to my app". Do not use it for a generic web or React app or website, Power Pages, canvas apps, or Power Automate, or when the user rules out Power Platform, Dataverse, or model-driven apps (for example "no Power Platform"). This skill stands alone and does not require /genpage — but for a standalone generative page added to an app that already exists, use /genpage instead.DevOpsNo warnings★ 1.1K↓ —
- workers-profilingfcakyon/claude-codex-settingsProfile or debug CPU usage and memory allocation in deployed Cloudflare Workers and Durable Objects. Then use this information to optimize your code.DevOpsNo warnings★ 1.2K↓ —
- financial-analystUpdatedalirezarezvani/claude-skillsAnalyze financial statements, value a company with a DCF, explain budget variance, build rolling forecasts. Use whenever the user asks what a business is worth or why spend missed budget.FinanceNo warnings★ 29.2K↓ —
- cav-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing a CAV (Computer Aided Verification) empirical evaluation, covering standard benchmark sets (SV-COMP/SMT-COMP/HWMCC/VNN-COMP), fair baseline solvers with pinned versions and equal resource limits, timeout-dominated comparisons, soundness cross-checks and proof witnesses, cactus/scatter reporting, and matching evidence to the shape of each verification claim.OtherNo warnings★ 1.4K↓ —
memory-review
hoangsonww/Claude-Code-Agent-Monitor
EngineeringUpdated yesterday
From the author
Review the file-based memory store via the Agent Monitor Config Explorer API: the user and project CLAUDE.md plus per-project auto-memory files under ~/.claude/projects/<slug>/memory/*.md. Groups by project, shows the index (MEMORY.md) vs per-fact files, and flags stale or oversized facts. Reads /api/cc-config/memory and /api/cc-config/file?path=. Use when curating agent memory.
Install
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill memory-review -a claude-code
Installs to .claude/skills/memory-review/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyUses the networkLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 88
Security100
Provenance77
Maintenance100
Licence100
Adoption49
Files (2)
- SKILL.md
- agents/openai.yaml