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.
49,409 skills from 2,375 repositories · updated 10 hours ago
48,362 skills
- 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↓ —
- evalhashgraph-online/awesome-codex-pluginsQuality and performance evaluation with baseline comparison. Sub-modes: correctness, performance, quality, regression. Outputs PASS/WARN/FAIL per dimension. Use for pre-ship evaluation or regression checks.OtherNo warnings★ 1.5K↓ —
- 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↓ —
- jetson-llm-serveNVIDIA/skillsStand up vLLM or SGLang serving on Jetson, using upstream vLLM on Thor and Orin JetPack 7.2+, and NVIDIA-AI-IOT vLLM on older Orin.OtherNo warnings★ 3.8K↓ —
- 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↓ —
- meta-evalagentscope-ai/OpenJudgeUse when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. Also use when the user mentions evaluation, eval, benchmarking, testing LLM quality, measuring agent performance, assessing RAG accuracy, or wants to compare prompts/models. This skill is the entry router: it asks diagnostic questions then recommends which sub-skill (local workflow) to use next.TestingNo warnings★ 1K↓ —
- generate-prdhuytieu/COG-second-brainGenerate product requirements documents with optional publishing to Confluence or other wiki platformsPlanningNo warnings★ 1.3K↓ —Also in 1 other repo
- cloudflare-onefcakyon/claude-codex-settingsDesign, configure, troubleshoot, or review Cloudflare One Zero Trust and SASE deployments. Use cloudflare-one-migrations for migration planning from other vendors.DevOpsNo warnings★ 1.2K↓ —
- communicating-conciselyGanyuanRan/AegisUse when the user asks for caveman mode, fewer tokens, brief responses, compressed communication, or otherwise explicitly requests a much shorter answer.OtherNo warnings★ 1.4K↓ —
- minutes-notesilverstein/minutesAdd a note to the current recording or annotate a past meeting. Use whenever the user says "note that", "remember this", "mark this as important", "add a note about", "annotate the meeting", or wants to capture a thought during or after a recording. Plain text input — no markdown needed.ProductivityNo warnings★ 1.6K↓ —Also in 1 other repo
- crabboxopenclaw/crabboxDetect and use Crabbox for repository tests and validation on remote runners. Use when crabbox.yaml or .crabbox.yaml exists, the crabbox CLI is available, or work needs remote compute, a clean or reusable environment, target-platform coverage, or auditable execution evidence.TestingNo warnings★ 1.5K↓ —Also in 1 other repo
- 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↓ —
socc-experiments
brycewang-stanford/Awesome-Journal-Skills
DevOpsUpdated Sep 27, 2026
From the author
Use 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.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill socc-experiments -a claude-code
Installs to .claude/skills/socc-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
Safety checks on SKILL.md
No warnings.
Why 88
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Provenance77
Maintenance100
Licence100
Adoption50
Files (1)
- SKILL.md