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.
49,417 skills from 2,407 repositories · updated 25 minutes ago
49,415 skills
- baoyu-comicJimLiu/baoyu-skillsKnowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".MediaNo warnings★ 27.3K↓ —
- seo-auditalirezarezvani/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★ 29.3K↓ —
- pmla-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-submission preflight for PMLA (Publications of the Modern Language Association) via the ScholarOne site — venue selection, MLA-membership eligibility, anonymous preparation, word range, MLA style, cover sheet, and AI-content disclosure. Final checks; it does not draft content.OtherNo warnings★ 1.4K↓ —
- claude-authenticityagentscope-ai/OpenJudgeDetect whether an API endpoint is backed by genuine Claude (not a wrapper, proxy, or impersonator) using 9 weighted rule-based checks that mirror the claude-verify project. Also extracts injected system prompts from providers that override Claude's identity. Fully self-contained — copy the code below and run, no extra packages beyond httpx. Use when the user wants to verify a Claude API key or endpoint, check if a third-party Claude service is authentic, audit API providers for Claude authenticity, test multiple models in parallel, or discover what system prompt a provider has injected.TestingNo warnings★ 1.1K↓ —
- huggingface-tool-builderhuggingface/skillsUse this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.OfficialEngineeringNo warnings★ 11.3K↓ —
- kdd-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when splitting a KDD paper across its 8 content pages, the optional appendix after the references, and the cited repository, under the camera-ready rule capping references plus appendix at 3 of 12 pages. Covers appendix triage, reviewer-discretion reality, and the one-page cross-cycle resubmission change summary.ScienceNo warnings★ 1.4K↓ —
- hf-cloud-serving-image-selectionhuggingface/skillsPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.OfficialMediaNo warnings★ 11.3K↓ —
- paid-ads-strategykostja94/marketing-skillsWhen the user wants to plan paid ads strategy, allocate ad budget, or choose paid channels. Also use when the user mentions "paid ads," "paid media," "PPC," "SEM," "web ads," "app ads," "TV ads," "CTV," "OOH," "banner ads," "ad network," "ad alliance," "Taaft ads," "Shopify App Store ads," "Google Ads," "Meta Ads," "PMF testing," "PMF validation," "test product-market fit with ads," "ad spend," "ad budget," "ROAS," "paid acquisition," "Quality Score," or "ad-to-page alignment." For Google Ads execution, use google-ads. For Meta Ads execution, use meta-ads. For landing page alignment, use landing-page-generator.MarketingNo warnings★ 1.1K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanningNo warnings★ 27.9K↓ —
- web-design-guidelinesvercel-labs/agent-skillsReview UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".OfficialDesignNo warnings★ 33.6K↓ —Also in 2 other repos
- md-documentalirezarezvani/claude-skillsUse when converting long-form markdown (spec, RFC, report, plan) into a single-file HTML page with sticky TOC, search and code-copy. Parses with markdown_parser.py and renders with html_renderer.py using the design-system brand.DesignNo warnings★ 29.3K↓ —
- pnas-submissionbrycewang-stanford/Awesome-Journal-SkillsUse as the final preflight before submitting to PNAS — a complete checklist across significance, track, Significance Statement, abstract, classification + keywords, figures, statistics, data, references, and required files. Bundles a checklist and a PNAS cover-letter template. Emits GO/NO-GO.OtherNo warnings★ 1.4K↓ —
- financial-analystalirezarezvani/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★ 29.3K↓ —
- slo-architectalirezarezvani/claude-skillsUse when defining or reviewing SLOs, SLIs, error budgets or burn-rate alerts. Designs SLOs with slo_designer.py, computes budgets and multi-window burn-rate thresholds with error_budget_calculator.py and catches common SLO bugs with slo_review.py.PlanningNo warnings★ 29.3K↓ —
- osdi-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-upload audit of an OSDI submission on HotCRP — the December registration and full-paper deadlines at 2:59 pm PST, the 12-page/no-appendix check, institution-level double-blind rules, the renamed-system requirement, track choice, and the eight-submission author cap.ScienceNo 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★ 1.1K↓ —
- pnas-statisticsbrycewang-stanford/Awesome-Journal-SkillsUse to enforce PNAS's statistics and reproducibility reporting — n and replication, test choice and assumptions, effect sizes with uncertainty, multiple-comparison control, randomization/blinding, sample-size justification, pre-registration where relevant, and reproducible code.TestingNo warnings★ 1.4K↓ —
- uai-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when splitting a UAI paper between the 8-page main part, the unlimited in-PDF appendix for proofs and protocols, and the optional 50 MB supplementary ZIP, deciding what reviewers must see in the body versus what may sit in material they are not required to read, all under double-blind and single-file constraints.DocumentsNo warnings★ 1.4K↓ —
- red-teamalirezarezvani/claude-skillsUse when planning or running an authorized red team engagement or attack path analysis. Plans the kill chain with engagement_planner.py: MITRE ATT&CK techniques, choke points, OPSEC risk and crown jewels.PlanningNo warnings★ 29.3K↓ —
- itcs-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding what counts as evidence for an ITCS theory claim — proofs as the primary evidence, worked examples and separations that make a model concrete, and the rare, well-scoped illustrative computation or simulation — and how to keep any computational content checkable and subordinate to the mathematics.MediaNo warnings★ 1.4K↓ —
- nsdi-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-upload audit of an NSDI submission — the abstract-then-paper week on the per-deadline HotCRP site, 11:59 pm US Eastern cutoffs, the 12-page cap with references and appendices outside it, track-dependent anonymization, the eight-paper author cap, and the resubmission-ban check.ScienceNo warnings★ 1.4K↓ —
- baoyu-slide-deckJimLiu/baoyu-skillsGenerates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks to "create slides", "make a presentation", "generate deck", "slide deck", or "PPT".DocumentsNo warnings★ 27.3K↓ —
- rfp-responderalirezarezvani/claude-skillsUse when an RFP, RFI, RFQ or security or vendor questionnaire arrives. Parses mandatory vs weighted requirements with rfp_parser.py, drafts proof-point answers with response_drafter.py and estimates win chance with winrate_predictor.py.SecurityNo warnings★ 29.3K↓ —
- sci-fitbrycewang-stanford/Awesome-Journal-SkillsUse before any writing to stress-test whether a result clears Science's (AAAS) desk-reject filter — broad significance and general interest across disciplines. Decides Science vs Science Advances vs a specialist journal before you invest in prose.TestingNo warnings★ 1.4K↓ —
monthly-review
hoangsonww/Claude-Code-Agent-Monitor
EngineeringUpdated 16 hours ago
From the author
Compile a month-over-month retrospective from Agent Monitor data — sessions, cost, token volumes, completion rate, top projects by working directory, and notable shifts versus the prior month. Uses daily_sessions/daily_events (365d) from analytics, the session list, and the pricing cost breakdown. Use when doing a monthly retrospective or planning the month ahead.
Install
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill monthly-review -a claude-code
Installs to .claude/skills/monthly-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 onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 88
Security100
Provenance77
Maintenance100
Licence100
Adoption49
Files (2)
- SKILL.md
- agents/openai.yaml