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.
49,105 skills from 2,358 repositories · updated 19 hours ago
49,105 skills
- searchtaishi-i/awesome-ChatGPT-repositoriesSearch 2500+ curated ChatGPT and LLM open-source repositories. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, RAG, agents, langchain, NLP, AI development, or any open-source AI tooling.OtherNo warnings★ 3.3K↓ —
- openclaw-history-ingestAr9av/obsidian-wikiIngest OpenClaw session/history data into Obsidian as distilled knowledge. Use for importing or mining ~/.openclaw sessions, memory files, or logs; use wiki-agent for targeted topic-only cross-agent recall.ProductivityNo warnings★ 3.7K↓ —
- gsd:audit-milestonedavepoon/buildwithclaudeAudit milestone completion against original intent before archivingOtherNo warnings★ 3.7K↓ —
- principle-laziness-protocolmichael-denyer/pstack-claudeApply when refactoring, evaluating diff size, or tempted to add abstractions, layers, or signal threading. Bias toward deletion and the smallest change that solves the problem.EngineeringNo warnings★ 3.8K↓ —
- memoryjeremylongshore/tons-of-skills-marketplaceUse when sharpening a perception or observation you ALREADY formed about conversation state, user behavior, drift, emotional shifts, or cross-turn patterns. Trigger phrases include "what did you notice about X", "the user keeps doing Y", "I sense something has changed", "is the user X-ing", "what does this pattern suggest", "what shifted across our turns", "am I missing something here", "why did the conversation move from X to Y", or any moment requiring verification of whether a felt signal is real or projection. The skill calls the memory MCP tool to retrieve a perception scaffold (perception failure, detection procedure, suppression vectors) that SHARPENS an observation you already have. It is NOT a substitute for observing first. Do NOT trigger for fact extraction, summarization, list-making, factual lookups, or write-heavy memory tasks (storing/retrieving structured data). Memory harness is filter/perception oriented; calling on write-heavy tasks produces scaffold paralysis.ProductivityNo warnings★ 2.9K↓ —
- secure-workflow-guidetrailofbits/skillsGuides through Trail of Bits' 5-step secure development workflow. Runs Slither scans, checks special features (upgradeability/ERC conformance/token integration), generates visual security diagrams, helps document security properties for fuzzing/verification, and reviews manual security areas. Use when securing a smart contract end to end rather than hunting one bug, checking a project on every check-in or before deployment, triaging a Slither report, or asking where to start on smart contract security.ProductivityNo warnings★ 8K↓ —
- tao-train-reidNVIDIA/skillsPerson re-identification (ReID). Learns discriminative embeddings to match the same person across different camera views, based on metric learning. Use when training, evaluating, exporting, or running inference for a TAO person re-identification model. Trigger phrases include "train ReID", "person re-identification", "cross-camera person matching", "ReID embeddings", "person re-id".OtherNo warnings★ 3.8K↓ —
- yaml-masterjeremylongshore/tons-of-skills-marketplaceExecute proactive YAML intelligence: automatically activates when working with YAML files. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.ProductivityNo warnings★ 2.9K↓ —
- kiro-validate-gapgotalab/cc-sddAnalyze implementation gap between requirements and existing codebasePlanningNo warnings★ 3.7K↓ —Also in 5 other repos
- clerk-orgsclerk/skillsClerk Organizations for B2B and multi-tenant apps - org switching, roles and permissions, verified domains, and enterprise SSO. Use for team workspaces, RBAC, org-scoped routing, member management. Also load this when a project treats teams, workspaces, tenants, or companies as its customers - shared accounts, inviting teammates, per-seat pricing, per-company data isolation - even when the words "organization" or "B2B" are never used.OfficialOtherNo warnings★ 90↓ —
- zarr-pythonforyourhealth111-pixel/Vibe-SkillsChunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.EngineeringNo warnings★ 3.8K↓ —
- kiro-reviewgotalab/cc-sddReview a task implementation against approved specs, task boundaries, and verification evidence. Use after an implementer finishes a task, after remediation, or before accepting a task as complete.EngineeringNo warnings★ 3.7K↓ —
- principle-model-the-domainmichael-denyer/pstack-claudeApply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files.WritingNo warnings★ 3.8K↓ —
- fathom-rate-limitsjeremylongshore/tons-of-skills-marketplaceHandle Fathom API rate limits (60 requests/minute per user). Trigger with phrases like "fathom rate limit", "fathom 429", "fathom throttle".EngineeringNo warnings★ 2.9K↓ —
- hormuz-straithimself65/finance-skillsCheck the live status of the Strait of Hormuz from the Hormuz Strait Monitor dashboard: open, restricted, or closed status, tanker transits vs normal, stranded vessels, Brent price impact, war-risk insurance levels, cargo throughput, tanker freight rates, diplomatic developments, and global trade impact. Use this skill whenever the user asks about the Strait of Hormuz or the Persian Gulf in the context of oil, shipping, or geopolitical risk — whether Hormuz is open, chokepoint or transit disruption, Gulf tanker traffic, war-risk premiums, Middle East shipping routes, or energy supply-chain risk.ProductivityNo warnings★ 3.5K↓ —
- image-to-codeplugin87/ux-ui-agent-skillsTurn 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.MediaNo warnings★ 3.1K↓ —
- poteto-helpmichael-denyer/pstack-claudeGuides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.ProductivityNo warnings★ 3.8K↓ —
- automate-memichael-denyer/pstack-claudeUse for "automate me", "create/update/refresh my -mode skill", "turn/capture my preferences or working style into a skill", or wanting agents to follow how the user works. Drafts or revises a personal -mode skill via plugin-dev:skill-development + unslop, optionally pulling fresh evidence from recent transcripts.OtherNo warnings★ 3.8K↓ —
- scvi-toolsanthropics/knowledge-work-pluginsDeep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.OfficialOtherNo warnings★ 34.4K↓ —
- adobe-sdk-patternsjeremylongshore/tons-of-skills-marketplaceCreate narrow, version-pinned Adobe SDK and REST adapters with typed contracts, redaction, bounded polling, and compatibility evidence. Use when writing or upgrading integration code. Trigger with "Adobe SDK patterns", "wrap Adobe API", or "review Adobe client".WritingNo warnings★ 2.9K↓ —
- think-harderforyourhealth111-pixel/Vibe-Skills4-phase structured analysis wrapper for vibe pre-routing (compatible with claude-code-settings think-harder semantics).EngineeringNo warnings★ 3.8K↓ —
- doca-argpNVIDIA/skillsUse this skill for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / removing / renaming flags; wiring `doca_argp_init` → register params → `doca_argp_start` → `doca_argp_destroy` in order; picking a parameter type from the full public enum (`DOCA_ARGP_TYPE_STRING`, `_INT`, `_BOOLEAN`, `_DEVICE`, `_DEVICE_REP`, `_DOUBLE` — six values, not three); preserving the built-in DOCA flags (`-h` `-v` `-l` `--sdk-log-level` `--log-filter` `-j`/`--json`, NOT `--json-config`); `--device` is per-program; or debugging `DOCA_ERROR_BAD_STATE` / `INVALID_VALUE` / `NOT_SUPPORTED` / `IO_FAILED` from `doca_argp_*`. Trigger on implicit phrasings: "add a custom flag to a DOCA sample", "should I use getopt here", "BAD_STATE registering a new param", "my JSON config key is rejected", or "my sample's --json is ignored". Refuse and route elsewhere for variadic-flag / subcommand / shell-completion features, DOCA Core context, or DOCA Log internals.EngineeringNo warnings★ 3.8K↓ —
- dark-social-attributoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "figure out where our direct traffic really comes from", "measure dark social", "add a how-did-you-hear-about-us field", or "show social drives signups without click data"; produces a share-link/UTM hygiene spec for owned share surfaces, a self-reported attribution field design that replaces an existing form field (free-text first, coded later), a GA4 direct-traffic decomposition read (deep-URL directs, mobile-app skew, private-push correlation) with every derived number hard-labeled Estimated/proxy, and a branded-search-lift proxy from GSC plus Wikipedia pageviews — the declared dark-social method behind ECHO O2. Not for paid-channel attribution reconciliation (platform-claimed vs analytics conversions) — use attribution-reconciler. 暗社交归因/直接流量分解/自报来源字段/分享链路UTMDataNo warnings★ 3.1K↓ —
- umap-learnforyourhealth111-pixel/Vibe-SkillsUMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.OtherNo warnings★ 3.8K↓ —Also in 1 other repo
runway-hello-world
jeremylongshore/tons-of-skills-marketplace
TestingUpdated yesterday
From the author
Create, observe, and preserve one approved Runway text-to-video task using the current per-model contract. Use when proving the first billable generation path. Trigger with: "Runway hello world", "first Runway video", "smoke test Runway generation".
Install
npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-hello-world -a claude-code
Installs to .claude/skills/runway-hello-world/ · 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 onlyNo network use seenLicence: MIT
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Maintenance100
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Files (2)
- SKILL.md
- references/official-docs.md