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.
45,100 skills from 2,196 repositories · updated 11 hours ago
44,137 skills
- jira-automationdavepoon/buildwithclaudeAutomate Jira tasks via Rube MCP (Composio): issues, projects, sprints, boards, comments, users. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- kiro-spec-tasksgotalab/cc-sddGenerate implementation tasks from requirements and design. Use when creating actionable task lists.PlanningNo warnings★ 3.7K↓ —
- hex-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect Hex debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Hex problems. Trigger with phrases like "hex debug", "hex support bundle", "collect hex logs", "hex diagnostic".EngineeringNo warnings★ 2.9K↓ —
- kiro-spec-designgotalab/cc-sddGenerate comprehensive technical design translating requirements (WHAT) into architecture (HOW) with discovery process. Use when creating architecture from requirements.DesignNo warnings★ 3.7K↓ —
- tao-train-mask-auto-labelNVIDIA/skillsMAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotations (point or box annotations) using a ViT-MAE backbone. Use when training, evaluating, or running inference for a TAO MAL model. Trigger phrases include "train MAL", "Mask Auto-Label", "weakly-supervised segmentation", "box-prompted segmentation", "minimal-annotation mask prediction".OtherNo warnings★ 3.7K↓ —
- helpdavepoon/buildwithclaudeOne-screen quick reference for the Origin plugin. Lists the daily verbs, the daily flow, where data lives, and how to view it without a GUI. Use when the user says "help", "what can I do", "list origin commands", "how do I use origin", or invokes `/help`.OtherNo warnings★ 3.7K↓ —
- kiro-validate-implgotalab/cc-sddValidate feature-level integration after all tasks are implemented. Checks cross-task consistency, full test suite, and overall spec coverage.TestingNo warnings★ 3.7K↓ —
- kiro-validate-gapgotalab/cc-sddAnalyze implementation gap between requirements and existing codebase. Use when planning integration with existing systems.PlanningNo warnings★ 3.7K↓ —
- kiro-spec-batchgotalab/cc-sddCreate complete specs (requirements, design, tasks) for all features in roadmap.md using parallel sub-agent dispatch by dependency wave.PlanningNo warnings★ 3.7K↓ —
- kiro-spec-requirementsgotalab/cc-sddGenerate comprehensive requirements for a specificationPlanningNo warnings★ 3.7K↓ —
- kiro-spec-requirementsgotalab/cc-sddGenerate comprehensive requirements for a specificationPlanningNo warnings★ 3.7K↓ —Also in 5 other repos
- kiro-spec-requirementsgotalab/cc-sddGenerate EARS-format requirements based on project description and steering context. Use when generating requirements from project description.PlanningNo warnings★ 3.7K↓ —
- kiro-validate-designgotalab/cc-sddInteractive technical design quality review and validation. Use when reviewing design before implementation.DesignNo warnings★ 3.7K↓ —
- kiro-steering-customgotalab/cc-sddCreate custom steering documents for specialized project contexts. Use when creating domain-specific steering files.PlanningNo warnings★ 3.7K↓ —
- kiro-debuggotalab/cc-sddInvestigate implementation failures using root-cause-first debugging. Use when an implementer is blocked, verification fails, or repeated remediation does not converge.EngineeringNo warnings★ 3.7K↓ —Also in 7 other repos
- doca-flowNVIDIA/skillsDOCA Flow packet steering on NVIDIA NICs/DPUs, linked into a C application: match/action pipes, ports, representors, forwarding, hairpin, counters. Trigger on packet steering, classifier, rule-matching, representor, hairpin or 5-tuple-to-queue questions even when "DOCA Flow" is not named. Also covers pipe validation before hardware programming, Flow/DOCA version match, and Flow API errors. First app: follow the local bundle (doca-setup, doca-programming-guide, doca-flow, doca-public-knowledge-map). Stage 1 pull nvcr.io/nvidia/doca/doca (NGC catalog tag, never invent); Stage 2 needs a real NIC. Then ls samples inside the container; never emit main.c, a Dockerfile, or hand-typed -l flags. Route software-only host pipelines, plain DPDK `rte_flow`, kernel TC, OVS, BFB bring-up, and DPU OS installation elsewhere. DPU OS installation is destructive and always requires explicit confirmation.EngineeringNo warnings★ 3.7K↓ —
- doca-staNVIDIA/skillsUse this skill when the user builds an NVMe-over-Fabrics storage target on BlueField with DOCA STA — instantiating doca_sta, declaring doca_sta_subsystem NQNs and namespaces over local NVMe disks via doca_sta_be, validating platform support with doca_sta_cap_is_supported, sizing I/O queue depth, or decoding DOCA_ERROR_* statuses such as IO_FAILED on NVMe reads. Also load it for implied asks like "Identify Controller times out over RoCE", "offload the nvmf target", "NVMe-oF Connect never completes", or "16 I/O queues at depth 1024 — supported?". Refuse and route to the proper owner for raw RDMA movement, packet I/O, steering rules, initiator-side NVMe, or SDK install.OtherNo warnings★ 3.7K↓ —
- skill-content-gap-analysisZJU-REAL/Easel分析社媒赛道的内容空白，发现高需求低竞争的蓝海选题机会。 当用户说"蓝海选题""内容空白""没人做的选题""选题机会""高需求低竞争""差异化选题""内容缺口"时使用。 和 skill-competitor-analysis 的区别：本 SKILL 从赛道供需交叉验证找蓝海选题空白； competitor-analysis 拆解具体竞品账号的内容策略。OtherNo warnings★ 4.1K↓ —
- kiro-spec-requirementsgotalab/cc-sddGenerate comprehensive requirements for a specificationPlanningNo warnings★ 3.7K↓ —
- reviewdavepoon/buildwithclaudePower-user audit of Origin's pending surfaces. Most users want `/brief` for revisions. That handles the daily flow. Use `/review` only for explicit deep-walk audits after bulk imports, or when you want to walk the full queue rather than the top 3 shown in /brief. Invoked as `/review captures` or `/review revisions`.EngineeringNo warnings★ 3.7K↓ —
- skill-content-repurposingZJU-REAL/Easel将一篇内容拆解改编到小红书、抖音、B站、微博等多平台，适配各平台原生格式和风格。 当用户说"一稿多发""改编到各平台""内容复用""多平台适配""这篇改成小红书/抖音""转成其他平台""一鱼多吃"时使用。 和 skill-cross-platform-diff 的区别：diff 做平台差异洞察分析（发现层）；本 SKILL 实际改写内容到各平台。 和 skill-cross-platform-publish 的区别：本 SKILL 只改写适配内容，cross-platform-publish 负责实际一键分发到多平台。OtherNo warnings★ 4.1K↓ —
- gsd:inteldavepoon/buildwithclaudeQuery, inspect, or refresh codebase intelligence files in .planning/intel/PlanningNo warnings★ 3.7K↓ —
- wiki-importAr9av/obsidian-wikiImport a wiki graph into the current vault from graph.json or an OKF/markdown bundle. Use for transferring previously exported wiki content between vaults; pair with wiki-export for the reverse direction.OtherNo warnings★ 3.6K↓ —
- skill-publish-checklistZJU-REAL/Easel发布前完整性检查：逐项检查标题、封面、标签、格式、合规标记、链接、CTA 是否齐全， 确保内容没有遗漏就能发布。当用户说"检查一下能不能发"、"发布前检查"、"checklist"、 "查漏补缺"、"发之前看一眼"、"发布清单"、"漏了什么没"、"能发了吗"时触发。 和 skill-quality-gate 的区别：quality-gate 做深度合规审核和质量评分， publish-checklist 只做"有没有漏东西"的快速完整性检查。OtherNo warnings★ 4.1K↓ —
golang-benchmark
samber/cc-skills-golang
FinanceUpdated 4 days ago
From the author
Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with Prometheus runtime metrics. Also use when the developer needs deep analysis on a specific performance indicator - this skill provides the measurement methodology, while `samber/cc-skills-golang@golang-performance` provides the optimization patterns.
Install
npx skills add samber/cc-skills-golang --skill golang-benchmark -a claude-code
Installs to .claude/skills/golang-benchmark/ · 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 onlyUses the networkLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption56
Files (10)
- SKILL.md
- evals/evals.json
- references/benchstat.md
- references/ci-regression.md
- references/compiler-analysis.md
- references/investigation-session.md
- references/pprof.md
- references/prometheus-go-metrics.md
- references/tools.md
- references/trace.md