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
- kiro-validate-gapgotalab/cc-sddAnalyze implementation gap between requirements and existing codebasePlanningNo warnings★ 3.7K↓ —Also in 5 other repos
- kiro-spec-designgotalab/cc-sddCreate comprehensive technical design for a specificationDesignNo warnings★ 3.7K↓ —Also in 4 other repos
- kiro-reviewgotalab/cc-sddReview a task implementation against approved specs, task boundaries, and verification evidence. Use after an implementer finishes a task, after remediation, or before accepting a task as complete.EngineeringNo warnings★ 3.7K↓ —
- openclaw-history-ingestAr9av/obsidian-wikiIngest OpenClaw session/history data into Obsidian as distilled knowledge. Use for importing or mining ~/.openclaw sessions, memory files, or logs; use wiki-agent for targeted topic-only cross-agent recall.ProductivityNo warnings★ 3.6K↓ —
- kiro-implgotalab/cc-sddImplement approved tasks using TDD with subagent dispatch. Runs all pending tasks autonomously or selected tasks manually.TestingNo warnings★ 3.7K↓ —Also in 3 other repos
- scvi-toolsanthropics/knowledge-work-pluginsDeep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.OfficialOtherNo warnings★ 33.1K↓ —
- cc-sdd-new-agentgotalab/cc-sddAdd or extend coding-agent support in cc-sdd by executing the SOP in docs/cc-sdd/sop-new-agent.md end-to-end. Use when introducing a new agent, adding a subagent-capable variant, or evaluating migration of an existing supported agent to skills-based templates.EngineeringNo warnings★ 3.7K↓ —
- kiro-implgotalab/cc-sddImplement approved tasks using TDD with subagent dispatch. Runs all pending tasks autonomously or selected tasks manually.TestingNo warnings★ 3.7K↓ —
- kiro-implgotalab/cc-sddImplement approved tasks using TDD with subagent dispatch. Runs all pending tasks autonomously or selected tasks manually.TestingNo warnings★ 3.7K↓ —
- subagent-driven-developmentforyourhealth111-pixel/Vibe-SkillsUse when executing implementation plans with independent tasks in the current sessionPlanningNo warnings★ 3.8K↓ —
- metabolomics-workbench-databaseforyourhealth111-pixel/Vibe-SkillsAccess NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.DataNo warnings★ 3.8K↓ —
- wiki-agentAr9av/obsidian-wikiSearch one AI agent's raw history for a specific topic, ingest only matching sessions, and return a synthesized answer. Use for targeted cross-agent recall; use wiki-history-ingest for bulk archival ingestion.PlanningNo warnings★ 3.6K↓ —
- kiro-validate-gapgotalab/cc-sddAnalyze implementation gap between requirements and existing codebasePlanningNo warnings★ 3.7K↓ —
- scientific-brainstormingforyourhealth111-pixel/Vibe-SkillsOpen-ended scientific ideation partner. Use for research gaps, mechanism exploration, interdisciplinary connections, assumptions, possible research directions, and lightweight literature matrix or A+B paper-combination idea mapping. For structured testable hypotheses and validation plans, use hypothesis-generation instead.ScienceNo warnings★ 3.8K↓ —
- envelope-teamdavepoon/buildwithclaudeDesign and generate .envelope.json AI agent team definitions — the open standard for multi-agent teams with hierarchy, access policies, human-in-the-loop gates, and cron schedules.DesignNo warnings★ 3.7K↓ —Also in 1 other repo
- json-canvasdavepoon/buildwithclaudeCreate and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.WritingNo warnings★ 3.7K↓ —Also in 1 other repo
- similarity-search-patternsforyourhealth111-pixel/Vibe-SkillsImplement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.OtherNo warnings★ 3.8K↓ —
- basecamp-automationdavepoon/buildwithclaudeAutomate Basecamp project management, to-dos, messages, people, and to-do list organization via Rube MCP (Composio). Always search tools first for current schemas.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↓ —Also in 5 other repos
- wiki-ingestAr9av/obsidian-wikiIngest new documents, raw text, folders, or URLs into the Obsidian wiki as distilled, linked knowledge. Use for general wiki ingestion when no more specific ingest skill applies, including processing _raw/ staged content.PlanningNo warnings★ 3.6K↓ —
- kiro-steeringgotalab/cc-sddManage {{KIRO_DIR}}/steering/ as persistent project knowledgeOtherNo warnings★ 3.7K↓ —
- kiro-spec-designgotalab/cc-sddCreate comprehensive technical design for a specificationDesignNo warnings★ 3.7K↓ —
- kiro-spec-initgotalab/cc-sddInitialize a new specification with detailed project descriptionPlanningNo 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↓ —
tao-train-mask-auto-label
NVIDIA/skills
OtherUpdated 21 hours ago
From the author
MAL (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".
Install
npx skills add NVIDIA/skills --skill tao-train-mask-auto-label -a claude-code
Installs to .claude/skills/tao-train-mask-auto-label/ · 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: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (14)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_evaluate.yaml
- references/spec_template_inference.yaml
- references/spec_template_train.yaml
- schemas/evaluate.schema.json
- schemas/inference.schema.json
- schemas/manifest.json
- schemas/train.schema.json
- +2 more