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.
49,399 skills from 2,375 repositories · updated 45 minutes ago
48,352 skills
- 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↓ —
- 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↓ —
- 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↓ —
- eval-reportagentscope-ai/OpenJudgeUse when the user has run multiple evaluation skills and wants a comprehensive analysis — maturity assessment, cross-skill signals, trends, prioritized actions, and an executive summary. Also use when the user mentions eval health check, evaluation audit, ship readiness, evaluation maturity, or "how good is my evaluation system itself." This is a read-only analysis skill.ProductivityNo warnings★ 1K↓ —
- planning-with-filesUpdatedOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanningNo warnings★ 27.9K↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- icse-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ICSE research-track campaign end to end, covering the single-cycle calendar from the June abstract deadline through September response, October decisions, the November revision sprint, artifact evaluation, camera-ready, and the April conference, plus rerouting timelines after rejection.ProductivityNo warnings★ 1.4K↓ —
- jama-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when deciding which jama-* sub-skill to invoke next, or when sequencing a clinical manuscript from scope check through revision for JAMA (Journal of the American Medical Association). Routes — does not replace — the specialized skills.ProductivityNo warnings★ 1.4K↓ —
- isca-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a full ISCA campaign on a calendar — working back from the expected mid-November abstract and paper deadlines to freeze simulation evidence in time, staffing the winter two-round review wait, preparing for the February-March rebuttal and revision window, and branching to camera-ready, artifacts, and the June conference.ProductivityNo warnings★ 1.4K↓ —
- icra-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ICRA submission calendar end to end — the September paper deadline, the two video-attachment windows, winter review silence, late-January notification, March camera-ready, and the May/June conference — or when interleaving a fallback RA-L or IROS plan around the single annual ICRA shot.ProductivityNo warnings★ 1.4K↓ —
- imc-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ACM IMC submission for HotCRP readiness, covering the paper-registration step, the acmart template with BBL upload, the full/short page limits, double-blind anonymity including vantage-point details, the mandatory Ethics section, the artifact-availability declaration, cycle choice, and desk-reject triage before the AoE cutoff.ScienceNo warnings★ 1.4K↓ —
- ipsn-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an IPSN-lineage project timeline from track/venue selection through the CPS-IoT Week deadline, double-blind submission, deployment and hardware logistics, rebuttal, the Best Research Artifact Award, and the dual ACM/IEEE camera-ready — with honest handling of the fact that IPSN merged into SenSys.ProductivityNo warnings★ 1.4K↓ —
- icdt-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ICDT (International Conference on Database Theory) campaign end to end, running the two-submission-cycle calendar backward from a chosen cycle deadline through abstract registration, the first-cycle revision round, LIPIcs camera-ready, and presentation at the co-located EDBT/ICDT event.ProductivityNo warnings★ 1.4K↓ —
- agenthubUpdatedalirezarezvani/claude-skillsRun several agents on one task in parallel and keep the best result: faster code, copy variants, research angles. Use whenever the user wants multiple attempts compared or best of N; spawns agents in git worktrees, ranks and merges the winner.ScienceNo warnings★ 29.2K↓ —
- icde-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an IEEE ICDE project timeline around the two-round-per-edition calendar, choosing between the June and November research deadlines, budgeting for a possible revise-and-resubmit window, and backward-planning a data-engineering systems paper from CMT submission through review, camera-ready, and IEEE Xplore publication.ProductivityNo warnings★ 1.4K↓ —
- hpca-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an HPCA project timeline from venue fit through the two-step July registration and paper gate, the autumn review wait, the single rebuttal/revision window, notification, IEEE camera-ready, artifact evaluation, and the February/March talk, with backward-planning offsets for a hardware-evaluated paper.ProductivityNo warnings★ 1.4K↓ —
- senior-architectUpdatedalirezarezvani/claude-skillsMake system architecture decisions and draw architecture diagrams: monolith vs microservices, database choice, scalability, ADRs, design reviews, Mermaid or PlantUML. Use whenever the user asks how to structure a system, which database to pick, whether it will scale, or wants an ADR or diagram.PlanningNo warnings★ 29.2K↓ —
- product-strategistUpdatedalirezarezvani/claude-skillsHead of Product: quarterly OKRs cascaded from company to team, product vision, roadmap, team structure. Use whenever the user asks to set OKRs, a vision or roadmap, or align teams on strategy.PlanningNo warnings★ 29.2K↓ —
- dac-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ACM/IEEE Design Automation Conference (DAC) Research-Manuscript submission for Softconf readiness, covering the two-stage abstract-then-manuscript deadline, the 6+1-page ACM double-column page budget with its references-only last page, the double-blind anonymization sweep, TPC conflict-of-interest declaration, and desk-reject triage before the mid-to-late-November cutoff.DesignNo warnings★ 1.4K↓ —
- eccv-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when running an ECCV campaign end to end — the even-year calendar from February registration to the September conference, the retargeting triangle to CVPR and ICCV seen from the ECCV seat, where the 2026 cycle stands today, and backward planning a 2028 submission from the March deadline.ProductivityNo warnings★ 1.4K↓ —
- edbt-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an EDBT project timeline across the multiple-cycle rolling model — choosing a submission cycle, backward-planning through the author-feedback phase and the in-cycle revise-and-resubmit window, and handling the cycle-to-conference roll — for a database-systems paper published open access on OpenProceedings.ProductivityNo warnings★ 1.4K↓ —
regression-watch
hoangsonww/Claude-Code-Agent-Monitor
OtherUpdated 18 hours ago
From the author
Detect quality and efficiency regressions over time using Agent Monitor data — rising error rate (APIError events), falling cache hit rate, growing compaction frequency, and climbing cost-per-session. Splits history into an earlier baseline window and a recent window and reports which metrics are getting worse, by how much, and where. Use when checking whether things are degrading or trending in the wrong direction.
Install
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill regression-watch -a claude-code
Installs to .claude/skills/regression-watch/ · 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 (2)
- SKILL.md
- agents/openai.yaml