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 60 minutes ago
48,055 skills
- tech-debt-trackeralirezarezvani/claude-skillsUse when asked about tech debt, refactoring priority, a cleanup sprint or legacy modernization. Scans the code with debt_scanner.py, ranks items with debt_prioritizer.py and tracks trends with debt_dashboard.py.EngineeringNo warnings★ 29.2K↓ —
- llm-wikialirezarezvani/claude-skillsUse when building or maintaining an Obsidian second brain that an LLM keeps up to date, or when ingesting a paper, article or book into it. Ingests with ingest_source.py, maintains index and links and checks the vault with lint_wiki.py.ScienceNo warnings★ 29.2K↓ —
- product-analyticsalirezarezvani/claude-skillsUse when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.DataNo warnings★ 29.2K↓ —
- minutes-cleanupsilverstein/minutesManage old recordings — find large files, archive old meetings, delete processed originals. Use when the user says "clean up recordings", "how much space are meetings using", "delete old recordings", "archive meetings", "manage meeting storage", or asks about disk space from minutes.OtherNo warnings★ 1.6K↓ —Also in 1 other repo
- returner-cvmohitagw15856/pm-claude-skillsWrite a CV for someone returning to work after a career break (caring, health, parenting, travel, redundancy or anything else), presenting the gap honestly and briefly and leading with current, relevant evidence. Use when asked how do I explain a gap on my CV, write my CV after a career break, returning to work after maternity or caring, or my CV has a two-year gap. Produces a CV with the break stated in one plain line, recent evidence brought forward, a short spoken answer for interviews, and a list of returnship programmes and refreshers worth checking.WritingNo warnings★ 1.5K↓ —
- evalhashgraph-online/awesome-codex-pluginsEval-Driven Development (EDD) for AI workflows. pass@k metrics, capability evals, regression evals. Triggers: eval, edd, pass@k, capability, regression, benchmark.OtherNo warnings★ 1.5K↓ —
- 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↓ —
- icml-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when stress-testing ICML experimental evidence before submission or rebuttal, including strong tuned baselines, mechanism-isolating ablations, seed variance and confidence intervals, compute disclosure, data leakage and split construction, reproducibility, negative results, and fit to ICML soundness, originality, and significance scoring.TestingNo warnings★ 1.4K↓ —
- isms-audit-expertalirezarezvani/claude-skillsUse for ISO 27001 audit work: internal or surveillance audits, Annex A control evidence, Statement of Applicability, nonconformities, Stage 1 and 2 prep. Plans risk-based audits with isms_audit_scheduler.py.PlanningNo warnings★ 29.2K↓ —
- gentle-ai-skill-creatorGentleman-Programming/gentle-shellTrigger: /skill-creation, skill creation, skill creator, create skill, new skill. Create LLM-first skills with valid frontmatter.OtherNo warnings★ 1.5K↓ —
- passive-deal-screeneralirezarezvani/claude-skillsUse when a passive investor shares a private deal (syndication, preferred equity, bridge fund, private credit) to screen as an LP. Stress-tests it, computes fee drag with fee_drag_calculator.py and compares terms with benchmark_comparator.py.TestingNo warnings★ 29.2K↓ —
- product-discoveryalirezarezvani/claude-skillsUse when validating product opportunities, mapping assumptions, planning discovery sprints, or testing problem-solution fit before committing delivery resources.TestingNo warnings★ 29.2K↓ —
- corl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse 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.ScienceNo warnings★ 1.4K↓ —
- hri-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or revising an ACM/IEEE HRI full paper's structure and prose for an interdisciplinary audience — leading with the human-robot contribution and research questions, making hypotheses and measures explicit, describing the robot embodiment, keeping claims proportional to the study within the 8-page acmart budget, and writing so the chosen track's contribution type is unmistakable.WritingNo warnings★ 1.4K↓ —
- grill-mealirezarezvani/claude-skillsInterview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".TestingNo warnings★ 29.2K↓ —
- fse-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising an ESEC/FSE paper for a practitioner-grounded software-engineering contribution on the first page, research-question contracts, a threats-to-validity section that argues rather than recites, evidence proportional to the claim, double-anonymous wording, and disciplined use of the ACM-template page budget.WritingNo 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
work-with-creators
gooseworks-ai/goose-skills
MediaUpdated 7 days ago
From the author
Real creators and influencers, researched, priced and briefed. Use when the marketer says "find influencers", "which creators are worth paying, at what price?", "find real UGC creators to film for our ads", "who should we seed product to", "is this creator's engagement real", "what should I pay this creator" or "write a creator brief". Free research first; one credit yes only to vet deeper. Drafts only: contacts nobody, agrees nothing, moves no money. Not for AI-made UGC-style video — use goose-video; if unsure, ask: a real person filming, or AI-made?
Install
npx skills add gooseworks-ai/goose-skills --skill work-with-creators -a claude-code
Installs to .claude/skills/work-with-creators/ · 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
Adoption50
Files (13)
- SKILL.md
- references/creator-brief.md
- references/creators-by-company-type.md
- references/data-sources.md
- references/discovery.md
- references/first-message.md
- references/pricing-and-deals.md
- references/roster-format.md
- references/run-memory.md
- references/vetting.md
- references/wave-criteria.md
- skill.meta.json
- +1 more