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.
14,043 skills from 411 repositories · updated 24 minutes ago
1,947 skills
- update-knowledge-basehuytieu/COG-second-brainMaintain and update product knowledge base from releases, features, and project changes with optional wiki syncOtherNo warnings★ 1.3K↓ —Also in 1 other repo
- content-factoryhuytieu/COG-second-brainAutonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishingOtherNo warnings★ 1.3K↓ —
- retrohuytieu/COG-second-brainCP-7 retrospective: audit checkpoints, evidence quality, action items, and harvest candidates. Closes the V-model cycle and feeds the next run. Use via /retro after ship, escalate, or significant session.OtherNo warnings★ 1.3K↓ —Also in 1 other repo
- braindumphuytieu/COG-second-brainQuick capture of raw thoughts with intelligent domain classification and competitive intelligence extractionOtherNo warnings★ 1.3K↓ —Also in 1 other repo
- cell-framingbrycewang-stanford/Awesome-Journal-SkillsUse to lock the single narrative arc before drafting — converts a set of correct results into one Cell-shaped story that runs hypothesis → mechanism → significance, not a list of experiments.OtherNo warnings★ 1.3K↓ —
- cell-rebuttalbrycewang-stanford/Awesome-Journal-SkillsUse after Cell reviews arrive to triage the decision, prioritize the (often substantial) new experiments by impact × feasibility, and draft a point-by-point response that is respectful, evidence-led, and closes the "completeness" gaps reviewers demand. Do not run before the experiments and revision are actually done.OtherNo warnings★ 1.3K↓ —
- nejm-citationbrycewang-stanford/Awesome-Journal-SkillsUse to convert references to NEJM's Vancouver / ICMJE numbered style — numbered in order of appearance, limited author lists then et al., NLM journal abbreviations, and a capped reference count. Late-stage style pass.OtherNo warnings★ 1.3K↓ —
- pnas-rebuttalbrycewang-stanford/Awesome-Journal-SkillsUse after PNAS reviews arrive to triage the decision, prioritize experiments, and draft a point-by-point response that is respectful, evidence-led, and honest about limits. Do not run before the main text is actually revised.OtherNo warnings★ 1.3K↓ —
- 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★ 1.3K↓ —
- 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★ 1.3K↓ —
- 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★ 1.3K↓ —
- 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★ 1.3K↓ —
- 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★ 1.3K↓ —
- cscw-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when readying a CSCW manuscript for upload — confirming the current pathway (rolling via Manuscript Central as of mid-2026), the single-column ACM template, the word-length scrutiny band, anonymization of author and community identifiers, ethics statements, and desk-risk triage.OtherNo warnings★ 1.3K↓ —
- fast-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a USENIX FAST submission for HotCRP readiness, covering the choice between the Spring and Fall deadlines, abstract registration, the USENIX two-column template and 12-page (long) / 6-page (short) limit excluding references, double-blind anonymization, the artifact-availability story, and desk-reject triage before the AoE cutoff.OtherNo warnings★ 1.3K↓ —
- iclr-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ICLR main-conference submission for OpenReview readiness, double-blind anonymity, page limits, reciprocal reviewing, LLM-use disclosure, dual-submission policy, supplementary material, and desk-reject risk.OtherNo warnings★ 1.3K↓ —
- pmla-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-submission preflight for PMLA (Publications of the Modern Language Association) via the ScholarOne site — venue selection, MLA-membership eligibility, anonymous preparation, word range, MLA style, cover sheet, and AI-content disclosure. Final checks; it does not draft content.OtherNo warnings★ 1.3K↓ —
- pnas-submissionbrycewang-stanford/Awesome-Journal-SkillsUse as the final preflight before submitting to PNAS — a complete checklist across significance, track, Significance Statement, abstract, classification + keywords, figures, statistics, data, references, and required files. Bundles a checklist and a PNAS cover-letter template. Emits GO/NO-GO.OtherNo warnings★ 1.3K↓ —
- stoc-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a STOC (ACM Symposium on Theory of Computing) submission for HotCRP readiness — the abstract + table-of-contents + first-12-pages reading rule, single-column 11-point format, double-blind hygiene, the SIGACT prior/simultaneous-publication policy, and deadline-week sequencing before the November cutoff.OtherNo warnings★ 1.3K↓ —
- aaai-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.OtherNo warnings★ 1.3K↓ —
- 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★ 1.3K↓ —
- iros-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing IROS experiments — real-robot trial counts, success criteria set in advance, reset procedures, failure taxonomies, baseline fairness on matched hardware, sim-to-real gap reporting, small-n statistics, and the claim-to-evidence ladder that embodied-systems reviewers apply before they trust a demo.OtherNo warnings★ 1.3K↓ —
- cell-star-methodsbrycewang-stanford/Awesome-Journal-SkillsUse to build Cell's mandatory STAR Methods — the Key Resources Table, the three Resource Availability subsections, Experimental Model and Subject Details, Method Details, and Quantification and Statistical Analysis, in the exact required order.OtherNo warnings★ 1.3K↓ —
- fizz-convertpashov/skillsConvert English-language properties in PROPERTIES.md (produced by the Fizz skill) into Solidity assertions inside the existing fuzz harness, then flip their checkboxes. Trigger on "fizz-convert", "convert properties", "implement properties from PROPERTIES.md", "convert PROPERTIES.md to Solidity".OtherNo warnings★ 1.3K↓ —