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.
48,622 skills from 2,355 repositories · updated 4 hours ago
48,622 skills
- hubspot-authjeremylongshore/tons-of-skills-marketplaceAuthenticate production HubSpot integrations and survive the auth-side failures — 30-min token expiry storms, 500K daily rate-limit burnout, scope drift, token leakage in commits, multi-portal credential routing, OAuth refresh-token decay. Use when hardening token caching, rotating private app credentials, building a multi-portal credential router, or recovering from 429/403 auth cascades. Trigger with "hubspot auth", "hubspot token cache", "hubspot rate limit", "hubspot scope drift", "hubspot multi-portal", "hubspot OAuth refresh".OtherNo warnings★ 2.9K↓ —
- cleanup-codejeremylongshore/tons-of-skills-marketplaceComprehensive codebase cleanup across 11 quality dimensions: dead code, duplication, weak types, circular deps, defensive cruft, legacy code, AI slop, type consolidation, security, performance, and async patterns. Analyzes code with confidence scoring and verifies changes with build/test gates. Use when codebase has accumulated tech debt, after major feature work, before releases, or when code quality metrics are declining. Trigger with "/cleanup-code-code", "clean up the codebase", "remove dead code", "fix code quality".EngineeringNo warnings★ 2.9K↓ —
- hex-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement Hex rate limiting, backoff, and idempotency patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Hex. Trigger with phrases like "hex rate limit", "hex throttling", "hex 429", "hex retry", "hex backoff".EngineeringNo warnings★ 2.9K↓ —
- thought-partnerjeremylongshore/tons-of-skills-marketplaceCollaborative thinking partner for exploring ideas, challenges, and decisions. Use when the user needs to analyze ambiguity, test assumptions, or compare options. Trigger with "think through", "explore", "brainstorm", "help me figure out", or an open-ended strategy or priority question.TestingNo warnings★ 2.9K↓ —
- navan-sdk-patternsjeremylongshore/tons-of-skills-marketplaceDesign an application-owned Navan adapter pinned to the tenant's actual integration contract. Use when wrapping Booking API, Expense API, SFTP, or direct integration behavior. Trigger with "build a Navan client", "wrap Navan API", or "type Navan responses".DesignNo warnings★ 2.9K↓ —
- principle-encode-lessons-in-structurebacknotprop/pstackApply when you catch yourself writing the same instruction a second time, or notice a recurring correction. Encode the rule as a lint, metadata flag, runtime check, or script instead of more text.WritingNo warnings★ 3.3K↓ —Also in 1 other repo
- cairo-vulnerability-scannertrailofbits/skillsScans Cairo/StarkNet smart contracts for 6 critical vulnerabilities including felt252 arithmetic overflow, L1-L2 messaging issues, address conversion problems, and signature replay. Use when auditing StarkNet projects.SecurityNo warnings★ 7.9K↓ —
- principle-experience-firstbacknotprop/pstackApply when product, UX, or feature-scope tradeoffs come up. Choose user delight over implementation convenience; ship fewer polished features over more rough ones.DesignNo warnings★ 3.3K↓ —Also in 3 other repos
- token-integration-analyzertrailofbits/skillsToken integration and implementation analyzer based on Trail of Bits' token integration checklist. Analyzes token implementations for ERC20/ERC721 conformity, checks for 20+ weird token patterns, assesses contract composition and owner privileges, performs on-chain scarcity analysis, and evaluates how protocols handle non-standard tokens. Use when integrating or accepting arbitrary ERC20/ERC721 tokens, auditing a token implementation for standards conformity, or assessing risk from weird tokens such as fee-on-transfer, rebasing, missing return values, or blocklists.LegalNo warnings★ 7.9K↓ —
- provider-resourceshashicorp/agent-skillsImplement Terraform Provider resources and data sources using the Plugin Framework: CRUD operations, schema design, plan modifiers and validators, not-found handling, waiters for eventually consistent APIs, import support, resource design principles, and required acceptance test coverage. Use when adding or changing a resource or data source, deciding whether an API concept should be a resource, wiring a resource to the provider's configured client, handling drift or resource-not-found, or reviewing a resource implementation before submission.OfficialTestingNo warnings★ 911↓ —
- provider-test-patternshashicorp/agent-skillsTerraform provider acceptance test patterns using terraform-plugin-testing with the Plugin Framework. Covers test structure, TestCase/TestStep fields, ConfigStateChecks with custom statecheck.StateCheck implementations, plan checks, CompareValue for cross-step assertions, config helpers, import testing with ImportStateKind, sweepers, and scenario patterns (basic, update, disappears, validation, regression), and ephemeral resource testing with the echoprovider package. Use when writing, reviewing, or debugging provider acceptance tests, including questions about statecheck, plancheck, TestCheckFunc, CheckDestroy, ExpectError, import state verification, ephemeral resources, or how to structure test files.OfficialTestingNo warnings★ 911↓ —
- baoyu-wechat-summaryJimLiu/baoyu-skillsSummarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.ProductivityNo warnings★ 27.1K↓ —
- jetson-derive-carrierNVIDIA/skillsBootstrap a custom carrier board by forking carrier files and scaffolding a DT overlay from the reference devkit. Use after jetson-init-source; not for module-level or kernel-DTB changes.OtherNo warnings★ 3.8K↓ —
- tao-train-dinoNVIDIA/skillsDINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support. Use when training, evaluating, exporting, distilling, quantizing, or running inference for a TAO DINO detector. Trigger phrases include "train DINO", "DETR object detection", "TAO 2D detection", "DINO with distillation".OtherNo warnings★ 3.8K↓ —
- interrogatebacknotprop/pstackUse for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart". Adversaries try to break a change or design, and only findings proven by a run survive.TestingNo warnings★ 3.3K↓ —
- clerk-sdk-patternsjeremylongshore/tons-of-skills-marketplaceCommon Clerk SDK patterns and best practices. Use when implementing authentication flows, accessing user data, or integrating Clerk SDK methods in your application. Trigger with phrases like "clerk SDK", "clerk patterns", "clerk best practices", "clerk API usage".EngineeringNo warnings★ 2.9K↓ —
- strategic-narrative-designeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "design our change narrative", "build the old-world-to-new-game story arc", or "frame the shift our category is undergoing"; produces a Raskin-style strategic narrative arc — old world → the undeniable shift → winners vs losers under the new rules → the promised land → proof the promised land is real — derived from the positioning truth set and the belief/objection map, feeding the TALE Architecture arc sub-item. Every proof beat is labeled Measured / User-provided / [needs source] and this skill never adjudicates a claim. Not for the message house hierarchy — use message-system-architect; not for the pitch deck narrative — use pitch-narrative-builder; not for claim substantiation — use offer-claims-registry. 变革叙事弧/旧世界/应许之地/战略叙事结构DocumentsNo warnings★ 3K↓ —
- narrative-resonance-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "measure how our narrative is landing", "track echo rate against our canon lexicon", or "check how AI answer engines describe our brand"; produces a resonance report — echo rate (overlap of market language with the narrative-registry canon lexicon, method declared), AI-answer perception via tavily.py --answer (proxy-labeled), share-of-voice on a locked competitor panel (reusing share-of-voice-tracker), and resonance signals from bluesky.py / gdelt.py / pageviews.py — every number labeled Measured / proxy / User-provided, feeding the TALE E dimension and the upstream of the E1 evidence-integrity veto. Not for rebuilding share-of-voice machinery — use share-of-voice-tracker; not for own-site GA4/GSC analytics — use performance-monitor; not for scoring TALE profile result — use narrative-quality-auditor; not for adjudicating claims — use offer-claims-registry. 回声率/AI回答感知/份额之声/共鸣信号DataNo warnings★ 3K↓ —
- preference-frequency-manageraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build a preference center", "set up a frequency opt-down ladder", "give people a step-down instead of unsubscribe", or "design a topic/cadence preference page"; produces a preference-center field spec, a frequency/topic opt-down ladder (down-tier paths that substitute for a hard unsubscribe), a preference-to-suppression mapping, and a SEND N-dimension sub-item note on preference-center / frequency options offered. Not for the lifecycle flow map or cadence governance — use email-sequence-designer; not for the consent/suppression record itself — use consent-registry; not for computing EQS or ruling the N1 unsubscribe veto — use email-quality-auditor. 邮件偏好中心/降频阶梯设计/退订替代降档DesignNo warnings★ 3K↓ —
- reflectbacknotprop/pstackSpawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect.WritingNo warnings★ 3.3K↓ —
- domain-authority-auditoraaron-he-zhu/aaron-marketing-skillsUse when auditing domain authority, trust, or citation credibility; runs a peer-relative 40-item CITE profile with evidence coverage and verified manipulation/penalty veto checks. Not for page-level content quality — use content-quality-auditor; not for backlink profiling alone — use offsite-signal-analyzer. 域名权威/网站可信度OtherNo warnings★ 3K↓ —
- dcf-modelanthropics/financial-servicesReal DCF (Discounted Cash Flow) model creation for equity valuation. Retrieves financial data from SEC filings and analyst reports, builds comprehensive cash flow projections with proper WACC calculations, performs sensitivity analysis, and outputs professional Excel models with executive summaries. Use when users need to value a company using DCF methodology, request intrinsic value analysis, or ask for detailed financial modeling with growth projections and terminal value calculations.OfficialFinanceNo warnings★ 41K↓ —Also in 3 other repos
- speckit-tasksforyourhealth111-pixel/Vibe-SkillsBreak down implementation plans into actionable task lists. Use after planning to create a structured task breakdown. Generates tasks.md with ordered, dependency-aware tasks.PlanningNo warnings★ 3.8K↓ —
- shapforyourhealth111-pixel/Vibe-SkillsModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.EngineeringNo warnings★ 3.8K↓ —Also in 1 other repo
segment-automation
davepoon/buildwithclaude
ProductivityUpdated 10 hours ago
From the author
Automate Segment tasks via Rube MCP (Composio): track events, identify users, manage groups, page views, aliases, batch operations. Always search tools first for current schemas.
Install
npx skills add davepoon/buildwithclaude --skill segment-automation -a claude-code
Installs to .claude/skills/segment-automation/ · 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
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (1)
- SKILL.md