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.
49,455 skills from 2,407 repositories · updated 3 minutes ago
49,453 skills
- portfolio-pagemohitagw15856/pm-claude-skillsStructure a portfolio or case-study page that shows your work, not just lists it. Use when asked to write a portfolio page, a project case study, a work showcase, or an 'is this person good?' proof page. Produces a portfolio structure — a positioning header, and per-project case studies (context → your role → what you did → outcome) that demonstrate impact, ready to export as a designed page/PDF.DocumentsNo warnings★ 1.5K↓ —
- research-competitors-edge-casesgooseworks-ai/goose-skillsStep of the research-competitors playbook: rules for run edge cases such as no browser, stalled workers, earlier reports and late reads. Run research-competitors instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- pitch-vs-teachmohitagw15856/pm-claude-skillsKnow which talk you're giving — the pitch (drive one decision) vs. the teach (build understanding) — because mixing their structures fails both, and most bad presentations are one wearing the other's clothes. Use when asked is this a pitch or a training, my informative deck didn't land the ask, my pitch felt like a lecture, or structure this talk for the right job. Produces the mode diagnosis, the structural implications, the mixed-mandate split, and the mode-check on an existing deck.DocumentsNo warnings★ 1.5K↓ —
- podc-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ACM PODC submission for HotCRP readiness, covering the two-step abstract-registration then full-paper deadline, the ACM Master template with the 10-page-merits budget and unbounded full version, lightweight double-blind anonymization, the regular-paper-vs-Brief-Announcement choice, and desk-risk triage before the AoE cutoff.ScienceNo warnings★ 1.4K↓ —
- email-lifecycle-lifecycle-auditgooseworks-ai/goose-skillsStep of the email-lifecycle playbook: audits list, consent, live flows, recent sends and sending setup, marking every item verified, from-you or unknown. Run email-lifecycle instead; not for direct use.ProductivityNo warnings★ 1.3K↓ —
- kdd-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a KDD submission for readiness in either cycle, covering Research vs ADS track declaration, OpenReview profile completeness for all authors, the ACM sigconf 8-content-page budget, double-blind checks, in-paper artifact references, resubmission declarations, and desk-reject triggers specific to ACM SIGKDD.ScienceNo warnings★ 1.4K↓ —
- cloudbase-sites-runtimeTencentCloudBase/CloudBase-AI-ToolkitUse when the user wants to develop, run, preview, save, deploy, or roll back a CloudBase Web app in this conversation as a Lovable/Codex-Sites-like vibe- coding session — i.e. any request that maps to "spin up a React+Vite project, see it live in the browser, iterate, save versions, deploy". Activate ONLY for browser-rendered Web projects based on the CloudBase official React (or Vue) + Vite template. Do NOT activate for: WeChat/Alipay mini-program, React Native / Flutter / Electron, pure cloud functions / CloudRun backends, or Next.js / Nuxt / Astro / Remix / SvelteKit (those frameworks are explicitly out of scope).DevOpsNo warnings★ 1.2K↓ —Also in 1 other repo
- icdm-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ICDM (IEEE International Conference on Data Mining) submission for readiness, covering Research-vs-Applied track choice and its anonymity regime, the triple-blind sweep, the 10-page IEEE all-inclusive cap, the single June deadline, in-paper artifact references, and the desk-level triggers that get an ICDM paper rejected without review.ScienceNo warnings★ 1.4K↓ —
- cohort-analysismohitagw15856/pm-claude-skillsStructure a cohort analysis for retention, LTV, or behavioural patterns. Use when asked to run a cohort analysis, analyse retention by cohort, segment users by behaviour over time, or calculate lifetime value by acquisition period. Produces a complete cohort analysis framework with methodology, cohort definitions, retention curves, and prioritised interventions.OtherNo warnings★ 1.5K↓ —
- dossieralirezarezvani/claude-skillsUse for diligence or meeting prep on a specific company, person or organization ('prep me for a meeting with X', 'due diligence on Y'). Tests the user's stated hypothesis with balanced evidence (disconfirming_evidence_balance.py) and writes a .docx dossier.TestingNo warnings★ 29.3K↓ —
- email-lifecyclegooseworks-ai/goose-skillsLifecycle email, SMS and push: audits the list and deliverability, then writes the flows this kind of business needs first, loadable as-is in your own tool, plus segments, cadence and this week's broadcasts. Never sends anything. Use when: set up my welcome and abandoned-cart emails; trial onboarding or waitlist launch emails; win back lapsed customers; plan this week's emails and texts; push notifications for my app; why are my emails going to spam; plan our Black Friday email and SMS sends; a send went wrong. Not for cold outreach to prospects — use write-outreach; not the editorial newsletter issue — use make-content; not the whole cross-channel Black Friday plan — use plan-campaign.ProductivityNo warnings★ 1.3K↓ —
- one-hard-truthmohitagw15856/pm-claude-skillsGet the single honest thing you're avoiding about a situation — said kindly but not softened away. Use when asked tell me the hard truth, what am I avoiding here, be honest with me about this, or what do I not want to hear. Produces the one thing you already half-know but keep sidestepping, said plainly and with care (not cruelty), why it's hard to face, and what facing it would actually make possible — because the truth you're avoiding is usually the one that would change things, and a kind voice can say what your own keeps ducking.OtherNo warnings★ 1.5K↓ —
- patentalirezarezvani/claude-skillsUse for prior-art search, freedom-to-operate, patent landscape, acquisition diligence or litigation prior art. Picks the use case with sub_use_case_router.py, searches Google Patents, Espacenet and USPTO and writes a .docx; not legal advice.DocumentsNo warnings★ 29.3K↓ —
- imc-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing an accepted ACM IMC paper for the proceedings, covering systematic de-anonymization, finalizing the Ethics and artifact-availability statements, permanentizing dataset and code links to DOI-issuing archives, satisfying the availability shepherd, Community Contribution Award eligibility, and ACM production checks.ScienceNo warnings★ 1.4K↓ —
- acl-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing an accepted ACL main-conference or Findings paper for camera-ready, covering the extra content page, de-anonymization and acknowledgements, AI-assistance disclosure, keeping the Limitations section, ACL Anthology metadata and CC BY 4.0 publication, meta-review-driven edits, and presentation-mode logistics.ScienceNo warnings★ 1.4K↓ —
- 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↓ —
- jama-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-submission preflight for a JAMA manuscript — word/format limits, required statements, checklist and flow-diagram files, disclosures, and portal steps. Verifies completeness; it does NOT write or analyze content.WritingNo 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↓ —
- sdd-riperalibaba/skill-upSDD-RIPER workflow executor with phase gatingProductivityNo warnings★ 1.4K↓ —
- write-outreachgooseworks-ai/goose-skillsCold outreach a person sends to business buyers: email and LinkedIn sequences, a first line per prospect, reply and objection answers, and a read of replies. Use when the marketer says "write a cold email sequence", "what do I send to this list", "write LinkedIn messages for these leads", "how do I reply to this prospect" or "handle this objection", "reply to this demo request", "win back or reconnect with accounts that churned or went quiet", or "why is nobody replying to my outreach". Drafts only; the marketer sends from their own tool. Not for finding the people — use research-audience; not for emails to subscribers or users, or consumer win-back — use email-lifecycle.WritingNo warnings★ 1.3K↓ —
- grantsalirezarezvani/claude-skillsUse for any NIH funding question ('find grants for my research', 'which NIH institute'). Maps the idea to institutes, study sections and NOSIs via RePORTER, matches mechanisms with mechanism_matcher.py and writes a .docx strategy. NIH only.DocumentsNo warnings★ 29.3K↓ —
- 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↓ —
- learn-my-brandgooseworks-ai/goose-skillsLearn my brand once and stop asking me every time. Use when someone says learn my brand, set up my brand, here's our brand book, remember how we talk, what can we claim, can we say this, approve our claims, sign off our voice, our price or product changed, the client approved the claims, pick up where we left off, or check our claims are still current. Reads what GooseWorks already found about the brand, asks only the gaps as drafts to confirm, audits every claim (including ones research marked approved) and gets the ones that matter signed off with proof, scope and review date, turns the voice into rules the owner confirms, checks logo, colours and fonts, and saves it all as it goes so every other job loads it instead of asking. Ends with an unknowns list and a read-back. Not for who our customers are and what they say (use research-audience) or writing positioning from scratch (not covered yet).ScienceNo warnings★ 1.3K↓ —
- wrap-upalirezarezvani/claude-skillsUse when closing out a launched managed agent ('wrap up', 'what do I own now'). Inventories primitives with primitives_inventory.py, regenerates the overview with overview_page.py and suggests next upgrades with upgrade_suggester.py.OtherNo warnings★ 29.3K↓ —
corl-experiments
brycewang-stanford/Awesome-Journal-Skills
ScienceUpdated Sep 27, 2026
From the author
Use when designing or auditing experiments for a CoRL robot-learning paper — seeds and evaluation-episode counts, task-suite breadth, real-robot versus simulation evidence, sim-to-real gap measurement, baseline fairness across BC/RL/VLA families, generalization splits, and statistics for success-rate claims.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill corl-experiments -a claude-code
Installs to .claude/skills/corl-experiments/ · 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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- SKILL.md