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.
49,493 skills from 2,391 repositories · updated 29 minutes ago
48,454 skills
- cscw-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical work behind a CSCW paper — interview and ethnographic rigor, trace and log analysis, surveys, deployments, and mixed methods — matching each method's own validity standard and the ethics of studying real communities.DevOpsNo warnings★ 1.4K↓ —
- ndss-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an NDSS paper — attack demonstrations, defense evaluations under adaptive adversaries, and Internet measurements — choosing between testbed, emulation, and live experiments and meeting NDSS's deployment-realism evidence bar.DevOpsNo warnings★ 1.4K↓ —
- edbt-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing EDBT empirical evaluations for database-systems work, covering real workloads and datasets, fair and tuned baselines, honest measurement across realistic scales, reproducible harnesses, and the higher bar of the Experiments & Analysis paper where the measurement itself is the contribution.DataNo warnings★ 1.4K↓ —
- soda-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.ScienceNo warnings★ 1.4K↓ —
- uai-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising a UAI manuscript for probabilistic-inference readers, enforcing precise notation for distributions, graphs, and interventions, explicit assumption and identifiability statements, an 8-page main part that carries the whole argument while proofs sit in the appendix, and claims calibrated to what the theory and experiments show.WritingNo warnings★ 1.4K↓ —
- osdi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an OSDI submission — choosing mature baselines and realistic workloads, structuring the section around research questions, measuring scalability and tail behavior, quantifying the design's costs, and fitting the evidence into the 12-page reviewed body.DesignNo warnings★ 1.4K↓ —
- eccv-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental program of an ECCV paper — benchmark selection that survives a September conference, matched-substrate baseline fairness in the foundation-model era, ablations that isolate the claimed mechanism, qualitative failure evidence, and run sequencing toward a March freeze.ScienceNo warnings★ 1.4K↓ —
- hri-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or revising an ACM/IEEE HRI full paper's structure and prose for an interdisciplinary audience — leading with the human-robot contribution and research questions, making hypotheses and measures explicit, describing the robot embodiment, keeping claims proportional to the study within the 8-page acmart budget, and writing so the chosen track's contribution type is unmistakable.WritingNo warnings★ 1.4K↓ —
- iccv-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing the experimental program for an ICCV paper against the early-March deadline, covering benchmark-drift audits across the two-year gap, baseline fairness in the foundation-model era, ablations that isolate mechanisms, qualitative and failure evidence, and sequencing runs so the decisive result lands before the deadline, not after.ScienceNo warnings★ 1.4K↓ —
- corl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing experiments for a CoRL robot-learning paper — seeds and evaluation-episode counts, task-suite breadth, real-robot versus simulation evidence, sim-to-real gap measurement, baseline fairness across BC/RL/VLA families, generalization splits, and statistics for success-rate claims.ScienceNo warnings★ 1.4K↓ —
- ui-ux-governanceGanyuanRan/AegisUse when designing, changing, or reviewing user-facing interfaces or interaction flows, including API changes that alter visible states or recovery. Backend-only work without user-facing effects stays on its existing route.DesignNo warnings★ 1.4K↓ —
- receiving-code-reviewGanyuanRan/AegisUse when receiving code review feedback before implementing suggestions, especially when feedback is unclear, risky, disputed, or technically questionable.EngineeringNo warnings★ 1.4K↓ —
- 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↓ —
- kdd-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical section of a KDD paper, where evidence combines quality deltas with scalability and efficiency measurements, temporal-leakage-safe splits, mechanism-isolating ablations, tuning-symmetric baselines, and, for the ADS track, post-launch measurement design that survives the desk check.DesignNo warnings★ 1.4K↓ —
- colm-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when preparing or auditing a COLM submission on OpenReview — the late-March abstract and full-paper deadlines, the strict 9-page main text, double-blind rules banning acknowledgments and identity links, the Code of Ethics acknowledgment, LLM-usage disclosure, reciprocal-reviewer nomination, and pre-upload risk triage.ScienceNo warnings★ 1.4K↓ —
- eacl-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an EACL submission before its single ACL Rolling Review cycle deadline, covering ACL-template compliance, the 8-page long / 4-page short content caps, the mandatory Limitations section, the Responsible NLP checklist, anonymization, preprint and resubmission declarations, and the no-fallback-cycle timing trap.LegalNo warnings★ 1.4K↓ —
- icdt-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ICDT (International Conference on Database Theory) regular-paper submission for Microsoft CMT readiness, covering the two-step abstract-then-paper deadline in the correct submission cycle, the lipics-v2021 15-page limit excluding references, the clearly-marked appendix read at the PC's discretion, anonymous submission since 2024, the complete-proofs / full-version expectation, and which submission problems are unfixable after the AoE cutoff.DataNo warnings★ 1.4K↓ —
- vis-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing IEEE VIS evaluations, covering how to match evidence to the contribution type (perceptual study, controlled user study, algorithm benchmark, design-study validation, qualitative work), controlled experiment design with power and effect sizes, CVD-safe and perceptually grounded encoding choices, task taxonomies, and provenance so a TVCG reviewer trusts the result.DesignNo warnings★ 1.4K↓ —
- cell-submissionbrycewang-stanford/Awesome-Journal-SkillsUse as the final preflight before submitting to Cell — a complete checklist across significance, narrative, Highlights/eTOC/Graphical Abstract, Summary, figures, STAR Methods, data, references, and required files. Bundles the checklist and cover-letter templates.ProductivityNo warnings★ 1.4K↓ —
- runhashgraph-online/awesome-codex-pluginsRun a full pipeline for a task. Orchestrates roles through stages (standalone or HOTL-integrated).ProductivityNo warnings★ 1.5K↓ —
- http-api-cloudbaseTencentCloudBase/CloudBase-AI-ToolkitCloudBase official HTTP API client guide. This skill should be used when backends, scripts, or non-SDK clients must call CloudBase platform APIs over raw HTTP instead of using a platform SDK or MCP management tool.EngineeringNo warnings★ 1.2K↓ —Also in 4 other repos
- test-driven-developmentGanyuanRan/AegisUse when the user explicitly requests strict or test-first TDD, or when the current conversation already contains an explicit `TDD Route: strict` decision from another Aegis workflow.TestingNo warnings★ 1.4K↓ —
- coding-agent-rolloutalirezarezvani/claude-skillsRoll out Claude Code to a team: shared or managed settings, MCP and plugin approval, layered CLAUDE.md, adoption. Use whenever the user sets up Claude Code for their team or org, or asks if a rollout or settings file is right.EngineeringNo warnings★ 29.3K↓ —
- subagent-driven-developmentGanyuanRan/AegisUse when executing a written implementation plan with independent tasks in the current session where delegation beats inline coordination cost; otherwise inline. Ad-hoc 2+ tasks without a plan use dispatching-parallel-agents.MarketingNo warnings★ 1.4K↓ —
doca-eth
NVIDIA/skills
From the author
Use this skill for hands-on DOCA Ethernet packet-queue work on a BlueField DPU or ConnectX NIC — bringing up a `doca_eth_rxq` or `doca_eth_txq` on a port / representor / SF, picking among the four `enum doca_eth_rxq_type` values (`_REGULAR` / `_CYCLIC` / `_MANAGED_MEMPOOL` / `_SHARED_MEMPOOL`), sizing burst or scatter-gather length against the `_cap_*` queries, submitting `doca_eth_txq_task_send` / `_lso_send` (carrying packet `doca_buf`s — no `doca_eth_frame` struct exists), or debugging DOCA_ERROR_* from an Ethernet call. `doca_eth_rxq` and `doca_eth_txq` are two Core contexts; one `doca_ctx_start()` does not cover both. Trigger on implicit phrasings: "my RX queue is up but no packets arrive", "send-task returns AGAIN at line rate", "which queue type for fixed-MTU ingress", "device open fails without sudo", or "is L3 checksum offload available here". Refuse and route elsewhere for installing DOCA, flow-rule / steering programming, host↔DPU control messaging, or RDMA data movement.
Install
npx skills add NVIDIA/skills --skill doca-eth -a claude-code
Installs to .claude/skills/doca-eth/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Safety checks on SKILL.md
- Uses sudoLow
Why 88
Files (8)
- BENCHMARK.md
- CAPABILITIES.md
- SKILL.md
- SKILLCARD.yaml
- TASKS.md
- evals/evals.json
- skill-card.md
- skill.oms.sig