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.
49,450 skills from 2,407 repositories · updated 18 minutes ago
48,350 skills
- correctNewhashgraph-online/awesome-codex-pluginsFind mistake classes agents keep repeating in this repository and block each with the strongest mechanism available (structure, then types and lint, then tests, docs last). Use for "/correct", "agents keep making the same mistake here", or after a repeated correction.TestingNo warnings★ 1.5K↓ —
- i18n-parityhoangsonww/Claude-Code-Agent-MonitorMANDATORY for every coding agent and contributor touching localized content — keep all five localization surfaces (dashboard UI keys, wiki page, full mirrored guides, locale-aware formatting, language switchers) in parity across every supported language. Use automatically (without being asked) whenever you add or change user-visible UI copy, add an i18n key, edit README-EN.md or a localized guide, edit wiki/index.html, or add a language surface.DesignNo warnings★ 1.1K↓ —Also in 1 other repo
- eacl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical evidence for an EACL paper, covering tuned and LLM baselines, multilingual breadth matched to the claim, significance and variance floors, human-evaluation agreement, data-contamination controls, ablations, and error taxonomies, so that every stated result is measured rather than asserted.ScienceNo warnings★ 1.4K↓ —
- dac-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or tightening the prose of an ACM/IEEE Design Automation Conference (DAC) Research Manuscript, covering the QoR-forward first-page arc, stating the design-automation contribution as a measured delta, fitting a complete argument into six double-column pages plus a references-only page, building column-width EDA figures, and third-person self-citation for double-blind review.WritingNo warnings★ 1.4K↓ —
- cvpr-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental program of a CVPR paper, covering benchmark and baseline selection under matched-compute fairness, the ablation study reviewers treat as mandatory, qualitative and failure-case evidence, efficiency metrics tied to the Compute Reporting Form, and generalization tests beyond a single dataset.TestingNo warnings★ 1.4K↓ —
- fse-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in an ESEC/FSE paper body versus its anonymized artifact and appendices, covering the ACM-template page budget, the rule that decision-critical evidence stays inside the reviewed pages, double-anonymous supplementary material, and how to split an empirical-SE paper between body and package.ScienceNo warnings★ 1.4K↓ —
- hri-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when planning the supplementary materials for an ACM/IEEE HRI full paper — above all the video figure that shows the embodied interaction, plus study instruments, extended results, and appendices — deciding what a reviewer must see to judge the interaction versus what belongs outside the 8-page body, all anonymized for double-blind review.MediaNo warnings★ 1.4K↓ —
- hpca-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↓ —
- focs-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether and how computation appears in a FOCS (IEEE Symposium on Foundations of Computer Science) paper — a venue that accepts on theorems with no evaluation section expected — covering machine-verified case analyses, computer-discovered constructions, and honest illustrative plots.MediaNo warnings★ 1.4K↓ —
- icra-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental section of an ICRA paper — real-robot versus simulation-only evidence, trial counts and success-rate reporting, task distributions and resets, baseline fairness on shared hardware, sim-to-real transfer claims, failure-mode analysis, and the statistics robotics reviewers actually expect.ScienceNo warnings★ 1.4K↓ —
- icdm-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical evaluation for an ICDM (IEEE International Conference on Data Mining) paper - mining-task definition, strong and fairly-tuned baselines, ablations that isolate the named mechanism, scalability curves that test scale claims, and discovery-validity checks that separate real findings from evaluation artifacts.TestingNo warnings★ 1.4K↓ —
- icse-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an ICSE research-track paper, covering subject and benchmark selection, baseline fairness, statistical tests and effect sizes as SE reviewers expect them, qualitative-methods rigor, ablations for AI-based techniques, and threats-driven study design.TestingNo warnings★ 1.4K↓ —
- imc-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or revising the prose of an ACM IMC measurement paper, covering the first-page measurement finding, making vantage points and methodology auditable, longitudinal framing for a moving Internet, arguing limitations rather than reciting them, writing the Ethics section early, and acmart page-budget discipline.WritingNo warnings★ 1.4K↓ —
- video-skillsUpdatedhashgraph-online/awesome-codex-pluginsFinds the right agent skill for an AI video, image, voice or music job on varg how to (varg.ai/how-to, 2,000+ checked skills and tutorials: UGC ads, product videos, music videos, captions, talking avatars, podcasts, faceless channels, explainers, launch videos, chat-story ads, dubbing, shorts from long videos) and shows the visual options before anything is generated. Use when someone asks to make, edit, caption, voice, dub or animate a video, asks "which skill should I use", "find a skill for", "how do I make a ... video", or wants images, voiceover or music for a video, and no installed skill already covers that format; use it before writing a pipeline from scratch or searching registries. Not for running a generation itself (use varg-ai), not for formats with their own varg skill (varg-music-video, varg-character-keynote, varg-consistent-characters, varg-character-design, varg-podcast-video, varg-product-hook, varg-dropship-reel, varg-previz), and not for non-media coding tasks.MediaNo warnings★ 1.5K↓ —
- varg-music-videohashgraph-online/awesome-codex-pluginsDirects an AI music video or a song-driven promo end to end on varg, the way the most-watched AI music videos are made: measure the song (beat grid, word timings), pitch the concept, cast and lock character references, storyboard every cut on a downbeat, approve stills before paying for video, generate Seedance 2.5 shots, run a mandatory lip-sync pass, draw lyrics and graphics in code, run review rounds and master for each platform. Use when someone asks for a music video, a clip for my song, a video for a track, a lyric video with AI footage, a singing character, an AI artist or band video, slopcore, or a launch video cut to a song. Not for a one-off generated song or single clip (use varg-ai), shot planning and 3D camera blocking only (use varg-previz), a talking character without music (use varg-character-keynote or varg-podcast-video), or a typography-only lyric video with no generated footage (use a HyperFrames music-to-video skill).MediaNo warnings★ 1.5K↓ —
- lancet-writingbrycewang-stanford/Awesome-Journal-SkillsUse to structure and hold the length of a Lancet Article main text — Introduction, Methods, Results, Discussion (~3000–3500 words), the Research in context panel, a limited reference list (~30), and a cautious, globally minded Discussion that does not overstate.WritingNo warnings★ 1.4K↓ —
- ipsn-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing IPSN-lineage evaluations, covering real testbeds and deployments, ground-truth instrumentation, energy/latency/footprint measurement on real hardware, on-device/TinyML profiling, estimation-theoretic baselines and bounds, and matching evidence to the shape of each sensing claim across the IP and SPOTS tracks.DevOpsNo warnings★ 1.4K↓ —
- kdd-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising a KDD paper into the venue's register, where the first page names a data regime, a mechanism, and scale evidence, efficiency adjectives trace to design decisions, and two-column sigconf pages punish sprawl. Covers Research vs ADS voice, dataset-size discipline, assertive contribution bullets, and 8-page compression.WritingNo warnings★ 1.4K↓ —
- rss-supplementarybrycewang-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↓ —
- pldi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing a PLDI evaluation — choosing defensible benchmark suites and baseline compiler configurations, measuring runtime, compile time, and memory with warmup and variance discipline, running ablations that isolate the claimed mechanism, and scoping claims to the platforms measured.ProductivityNo warnings★ 1.4K↓ —
- popl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing the empirical component of a POPL paper — deciding whether evidence should be a mechanization, a prototype, case studies, or benchmarks; reporting proof effort and case-study coverage honestly; and keeping performance numbers in a supporting role so the formal claim stays the paper's center of gravity.ScienceNo warnings★ 1.4K↓ —
- pods-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the analytical "evidence" of an ACM PODS paper — worst-case and average-case analyses, matching upper and lower bounds, dichotomy completeness, correct complexity assumptions, and the occasional empirical validation when a theory paper claims practicality — matching the rigor to the shape of each theoretical claim.ScienceNo warnings★ 1.4K↓ —
- stoc-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when judging whether computation belongs in a STOC (ACM Symposium on Theory of Computing) paper at all — STOC accepts on theorems, with no empirical-evaluation expectation — and when it does, scoping it as certified proof computation, constructive search, or clearly labeled illustration rather than benchmarking.MediaNo warnings★ 1.4K↓ —
- socc-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing ACM SoCC evaluations, covering real or realistic deployments over simulation, production or representative workloads and traces, tail-latency and cost as first-class metrics, fair tuned baselines, scale and multi-tenancy behavior, reproducible measurement pipelines, and matching evidence to the shape of each cloud claim.DevOpsNo warnings★ 1.4K↓ —
cell-summary
brycewang-stanford/Awesome-Journal-Skills
ProductivityUpdated Sep 27, 2026
From the author
Use to write Cell's Summary — a single unstructured paragraph of ≤ ~150 words that conveys the complete story, the mechanism, and the broad significance, quantified and readable by a general life-scientist. Late-stage polish.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cell-summary -a claude-code
Installs to .claude/skills/cell-summary/ · 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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