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.
49,492 skills from 2,391 repositories · updated 1 hour ago
48,451 skills
- eksitsmostafa/aws-agent-skillsAWS EKS Kubernetes management for clusters, node groups, and workloads. Use when creating clusters, configuring IRSA, managing node groups, deploying applications, or integrating with AWS services.DevOpsNo warnings★ 1.2K↓ —
- tech-radarmohitagw15856/pm-claude-skillsBuild a technology radar for an engineering team, categorizing technologies into Adopt/Trial/Assess/Hold quadrants following the ThoughtWorks Tech Radar format. Use when asked to create a tech radar, evaluate the team's technology landscape, categorize tools and frameworks, or establish a technology strategy. Produces a full tech radar with quadrant tables, individual blip rationales, a decision trail, and a maintenance process guide.OtherNo warnings★ 1.5K↓ —
- rubric-buildermohitagw15856/pm-claude-skillsCreate a clear grading rubric with criteria and performance-level descriptors that make scoring fair, fast, and consistent. Use when asked to build a rubric, create grading criteria, design an assessment scoring guide, or make grading more objective. Produces an analytic rubric table (criteria × performance levels) with concrete, observable descriptors and a points scheme — plus a short version students can self-check against.DesignNo warnings★ 1.5K↓ —
- focs-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-upload audit of a FOCS (IEEE Symposium on Foundations of Computer Science) submission — the April HotCRP deadline clock, the abstract-references-plus-ten-pages attention rule, the 11-point single-column format floor, PDF security restrictions, double-blind checks, and SIGACT publication-policy compliance.SecurityNo warnings★ 1.4K↓ —
- django-tddhashgraph-online/awesome-codex-pluginsDjango testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.TestingNo warnings★ 1.5K↓ —
- ap-jurorSpielewoy/autoprompt-skillReport the compatibility redirect to `ap-independent-checker`; this retired role cannot perform new work.OtherNo warnings★ 1.2K↓ —
- retro-analysismohitagw15856/pm-claude-skillsAnalyses sprint delivery data and produces a structured retrospective brief. Use when asked to run a retrospective, analyse sprint data, prepare a retro brief, or turn sprint metrics into discussion prompts. Produces a data-grounded retrospective brief with completion stats, pattern analysis, Start/Stop/Continue prompts, and one concrete experiment for next sprint.OtherNo warnings★ 1.5K↓ —
- stripe-best-practicesfcakyon/claude-codex-settingsGuides Stripe integration decisions across development and test environment planning (separate sandboxes vs the shared test mode sandbox), API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, tax and registrations (Stripe Tax, automatic_tax, product tax codes), Treasury financial accounts, integration options (Checkout, Payment Element), migrating from deprecated Stripe APIs, and security best practices (API key management, API key permissions, webhooks, OAuth). Use when planning, building, modifying, testing, or reviewing any Stripe integration, including choosing a development environment, accepting payments, building marketplaces, integrating Stripe, processing payments, setting up subscriptions, collecting sales tax, VAT, or GST, creating connected accounts, or implementing secure key handling.SecurityNo warnings★ 1.2K↓ —
- fizz-syncpashov/skillsReconcile an existing Fizz harness with a changed source tree. Detects added/removed/changed contract functions, quarantines stale properties, regenerates drifted handler stubs, and refreshes the snapshot. Trigger on "fizz-sync", "resync fuzzing", "sync fuzz harness", "refresh fuzzing properties", "fuzzing drift check".LegalNo warnings★ 1.3K↓ —
- icde-experimentsbrycewang-stanford/Awesome-Journal-SkillsJournal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。PlanningNo warnings★ 1.4K↓ —
- receipts-auditmohitagw15856/pm-claude-skillsAudit any document against its own sources — every factual claim extracted and graded as evidenced, partially evidenced, unsupported, or contradicted, with the exact source line that supports or fails it. Use when asked to fact-check a document against its sources, check whether a report's claims are backed up, verify a deck against the data, or ask 'does this doc have receipts?'. Produces a claim ledger, unsupported claims ranked by load-bearingness, a fix-or-drop call per claim, and an honesty score with stated method.DocumentsNo warnings★ 1.5K↓ —
- iclr-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing ICLR experiments, including baselines, ablations, scaling laws, robustness, statistics, benchmarks, human evaluation, and compute reporting. Use when a reviewer questions whether a representation-learning or model gain is real, when you must isolate one mechanism with an ablation, or when preparing a small compute-matched control that can be posted inline during the public discussion period.OtherNo warnings★ 1.4K↓ —
- cav-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in a CAV (Computer Aided Verification) paper body versus its optional appendix and artifact, covering the LNCS page limits, the rule that reviewers are not obliged to read the appendix so decision-critical content stays in the body, where full proofs and benchmark tables live, and double-anonymous supplementary material for the anonymized categories.ScienceNo warnings★ 1.4K↓ —
- cscw-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical work behind a CSCW paper — interview and ethnographic rigor, trace and log analysis, surveys, deployments, and mixed methods — matching each method's own validity standard and the ethics of studying real communities.DevOpsNo warnings★ 1.4K↓ —
- ndss-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an NDSS paper — attack demonstrations, defense evaluations under adaptive adversaries, and Internet measurements — choosing between testbed, emulation, and live experiments and meeting NDSS's deployment-realism evidence bar.DevOpsNo warnings★ 1.4K↓ —
- edbt-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing EDBT empirical evaluations for database-systems work, covering real workloads and datasets, fair and tuned baselines, honest measurement across realistic scales, reproducible harnesses, and the higher bar of the Experiments & Analysis paper where the measurement itself is the contribution.DataNo warnings★ 1.4K↓ —
- fse-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing an accepted ESEC/FSE paper for its PACMSE camera-ready, covering de-anonymization, the ACM Primary Article Template and PACMSE journal metadata (DOI, ORCID, CCS concepts), integrating reviewer-required changes without scope creep, permanentizing the Data Availability links, and the ACM artifact-badge handoff.ScienceNo warnings★ 1.4K↓ —
- edbt-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an EDBT research-track submission for Microsoft CMT readiness, covering the cycle choice, the paper shape (Regular / Experiments-&-Analysis / Vision), the OpenProceedings/host LaTeX template and per-shape page budget, the 12-month resubmission ban, reproducibility items, and desk-reject triage before the cycle deadline.ScienceNo warnings★ 1.4K↓ —
- quiz-generatormohitagw15856/pm-claude-skillsGenerate a quiz or test on any topic with a balanced mix of question types and difficulty, plus a complete answer key with explanations. Use when asked to create a quiz, write a test, make practice questions, or build an assessment. Produces well-formed questions aligned to learning objectives, tagged by difficulty and cognitive level, with an answer key and (for MCQs) plausible distractors and rationale.TestingNo warnings★ 1.5K↓ —
- soda-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.ScienceNo warnings★ 1.4K↓ —
- uai-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising a UAI manuscript for probabilistic-inference readers, enforcing precise notation for distributions, graphs, and interventions, explicit assumption and identifiability statements, an 8-page main part that carries the whole argument while proofs sit in the appendix, and claims calibrated to what the theory and experiments show.WritingNo warnings★ 1.4K↓ —
- promotion-planmohitagw15856/pm-claude-skillsPlan a sale or promotion that drives revenue without wrecking margin. Use when asked to plan a promotion, a discount/sale campaign, a BFCM/holiday promo, or a product launch offer. Produces a promo plan — objective, the offer mechanic, margin math, audience & channels, timing, messaging, and how you'll measure it — so the discount is a strategy, not a reflex.PlanningNo warnings★ 1.5K↓ —
- osdi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an OSDI submission — choosing mature baselines and realistic workloads, structuring the section around research questions, measuring scalability and tail behavior, quantifying the design's costs, and fitting the evidence into the 12-page reviewed body.DesignNo warnings★ 1.4K↓ —
- eccv-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental program of an ECCV paper — benchmark selection that survives a September conference, matched-substrate baseline fairness in the foundation-model era, ablations that isolate the claimed mechanism, qualitative failure evidence, and run sequencing toward a March freeze.ScienceNo warnings★ 1.4K↓ —
edbt-experiments
brycewang-stanford/Awesome-Journal-Skills
DataUpdated Sep 27, 2026
From the author
Use when designing or auditing EDBT empirical evaluations for database-systems work, covering real workloads and datasets, fair and tuned baselines, honest measurement across realistic scales, reproducible harnesses, and the higher bar of the Experiments & Analysis paper where the measurement itself is the contribution.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill edbt-experiments -a claude-code
Installs to .claude/skills/edbt-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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