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 12 hours ago
48,451 skills
- taste-skillhuytieu/COG-second-brainAnti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.DesignNo warnings★ 1.3K↓ —Also in 1 other repo
- gentle-ai-judgment-dayGentleman-Programming/gentle-shellTrigger: judgment day, judgement day, dual review, adversarial review, juzgar. Run explicit blind dual review with at most two scoped fix/re-judgment rounds.EngineeringNo warnings★ 1.6K↓ —
- closed-loophuytieu/COG-second-brainRun one task through the V-model verification loop: CP-2 plan → CP-3 build → CP-3v component verify → CP-4 integration verify (full lane) → CP-5 acceptance. The worker never grades its own homework; evidence rows trace back to AC-n. Opt-in: invoke with /closed-loop or by asking for the closed loop, proper verification, or an evidence trail. Ordinary work does not run this.PlanningNo warnings★ 1.3K↓ —Also in 1 other repo
- oma-coordinationfirst-fluke/oh-my-agentCoordinate assigned specialist tasks and handoffs manually. Use when supervising a multi-agent project step by step.PlanningNo warnings★ 1.4K↓ —
- daily-journalhuytieu/COG-second-brainA passive daily work journal that Claude keeps FOR you so you never have to write it yourself. Append short entries after meaningful work (what was done, what you focused on, artifacts touched) to 01-daily/journal/YYYY-MM-DD.md. Run a guided reflection at night or in the morning. Use when you run /daily-journal, say "log this to my journal", "add to today's journal", "reflect on today/yesterday", or when finishing a meaningful chunk of work in any session.WritingNo warnings★ 1.3K↓ —Also in 1 other repo
- chi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the studies behind an ACM CHI paper — matching evidence shape to contribution type, powering quantitative experiments, making qualitative work rigorous and auditable, reporting participants and ethics properly, and avoiding the ADR-Data and ADR-Method screening grounds.ScienceNo warnings★ 1.4K↓ —
- hri-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the human-subjects study at the heart of an ACM/IEEE HRI full paper — choosing between/within-subjects designs, running Wizard-of-Oz honestly, powering the sample, reporting statistics with effect sizes and qualitative rigor, selecting validated scales, adding manipulation checks, pre-registering, and meeting HRI's human-participants ethics obligations.ScienceNo warnings★ 1.4K↓ —
- dac-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical evaluation of an ACM/IEEE Design Automation Conference (DAC) Research Manuscript, covering standard EDA benchmark suites (ISPD, EPFL, ISCAS/ITC, TAU, CircuitNet, OpenROAD flows), fair state-of-the-art baselines, QoR/PPA reporting with runtime, per-benchmark honesty, ablations that isolate the mechanism, and contamination-aware ML-for-EDA evaluation.DesignNo warnings★ 1.4K↓ —
- jama-scope-fitbrycewang-stanford/Awesome-Journal-SkillsUse when judging whether a clinical study clears JAMA's general-medical-importance bar before investing in a full submission. Assesses fit and article-type match; it does NOT design the study or write the paper.DesignNo warnings★ 1.4K↓ —
- cav-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing a CAV (Computer Aided Verification) empirical evaluation, covering standard benchmark sets (SV-COMP/SMT-COMP/HWMCC/VNN-COMP), fair baseline solvers with pinned versions and equal resource limits, timeout-dominated comparisons, soundness cross-checks and proof witnesses, cactus/scatter reporting, and matching evidence to the shape of each verification claim.OtherNo warnings★ 1.4K↓ —
- fse-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing ESEC/FSE empirical evaluations, covering real subject systems, fair baselines, SE-standard statistics and effect sizes, qualitative and mixed-methods rigor, contamination-aware LLM ablations, provenance for mining studies, and matching evidence to the shape of each software-engineering claim.OtherNo warnings★ 1.4K↓ —
- uai-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing UAI experiments where inference quality is the endpoint, covering calibration and coverage measurement, posterior diagnostics, structure-recovery metrics for causal and graphical models, seeded repeated runs, baselines from both sampling and optimization families, and mapping each claim to its evidence.OtherNo warnings★ 1.4K↓ —
- sci-framingbrycewang-stanford/Awesome-Journal-SkillsUse when locking the conceptual advance and the "why now" before drafting for Science (AAAS) — converts a correct result into a Science-shaped narrative that leads with the broad advance rather than the background, and seeds the title, abstract, and cover letter.ScienceNo warnings★ 1.4K↓ —
- aaai-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an AAAI main technical track submission for OpenReview readiness, double-blind anonymity, page limits, reproducibility checklist, supplementary material, author limits, multiple-submission policy, and AAAI AI-use policy compliance.LegalNo warnings★ 1.4K↓ —
- rss-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↓ —
- nejm-reportingbrycewang-stanford/Awesome-Journal-SkillsUse to select and enforce the correct EQUATOR reporting guideline for a clinical study headed to NEJM — CONSORT for RCTs (with the participant flow diagram), STROBE for observational, PRISMA for systematic reviews — and to build the required checklist and diagram before submission.ScienceNo warnings★ 1.4K↓ —
- sci-figuresbrycewang-stanford/Awesome-Journal-SkillsUse to finalize Science display items — panel/word budget, column-width sizing, minimum font sizes, color-accessibility, and showing the data (points over bars). Enforces figure rigor before submission.ScienceNo warnings★ 1.4K↓ —
- sci-writingbrycewang-stanford/Awesome-Journal-SkillsUse when choosing the Science (AAAS) format (Research Article vs Report) and holding its length and structure budgets — main-text word caps, figure caps, argument-ordered Results, and deciding what belongs in the main text versus Supplementary Materials.WritingNo warnings★ 1.4K↓ —
- aamas-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an AAMAS project timeline from venue fit through abstract, full-paper or extended-abstract upload, supplementary material, the double-blind rebuttal, decision, IFAAMAS camera-ready, registration, and presentation, with track-specific deadlines and backward-planning offsets for a game-theory-plus-experiments paper.ProductivityNo warnings★ 1.4K↓ —
- atc-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing the ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) camera-ready after a conditional accept — de-anonymizing systematically, folding in the shepherd's required revisions, permanentizing artifact links, completing ACM Open Access metadata and the transition APC, and passing production checks for the November Hong Kong proceedings.OtherNo warnings★ 1.4K↓ —
- ase-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing the ASE (IEEE/ACM Automated Software Engineering) camera-ready after acceptance or a successful revision, covering systematic de-anonymization, the extra content page, the mandatory Data Availability finalization, the correct IEEE/ACM template and metadata, permanentized artifact links, and dual IEEE-Xplore/ACM-DL production checks.OtherNo warnings★ 1.4K↓ —
- acl-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning an ACL submission against the NLP literature, covering ACL Anthology citation practice, arXiv-versus-published version citation, concurrent LLM-era preprints, prior-cycle ARR resubmission overlap, anonymity-preserving self-citation, and the fast-moving baseline problem in computational linguistics.ScienceNo warnings★ 1.4K↓ —
- ccs-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACM CCS project timeline across the two HotCRP review cycles, from venue fit through abstract registration, full-paper upload, rebuttal, notification, revision, artifact evaluation, ACM camera-ready, and in-person presentation, with backward-planning offsets and the security big-four deadline-hopping calendar.ProductivityNo warnings★ 1.4K↓ —
- ase-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when writing the related-work and positioning of an ASE (IEEE/ACM Automated Software Engineering) paper, covering the automated-SE literature lanes, delta-first positioning against prior tools/techniques, fair head-to-head framing, and double-anonymous self-citation.ScienceNo warnings★ 1.4K↓ —
render-editorial-motion-podcast
gooseworks-ai/goose-skills
MediaUpdated Oct 27, 2026
From the author
Assemble an editorial-motion podcast-clip ad from a config — a real clipped podcast MP3 carries the narrative while N flat limited-palette editorial-illustration keyframes (one look pack) are animated NOT by generative i2v but by DETERMINISTIC ffmpeg ken-burns (zoompan) + hard cuts (no crossfades, which expose geometric drift), each beat snapped to its spoken line, the real audio muxed, Whisper-driven captions burned only mid-sentence, and closed on a PIL brand end card — never AI-rendered text. This is the FREE deterministic assembly stage (ffmpeg ken-burns + hard concat + audio mux + captions + end card); the real audio is clipped from source and the keyframes come from create-image-fal. Use for the editorial-motion-podcast format.
Install
npx skills add gooseworks-ai/goose-skills --skill render-editorial-motion-podcast -a claude-code
Installs to .claude/skills/render-editorial-motion-podcast/ · 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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Files (6)
- SKILL.md
- scripts/PIPELINE.md
- scripts/README.md
- scripts/config.example.json
- skill.meta.json
- tests/smoke-test.md