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.
48,168 skills from 2,325 repositories · updated 10 hours ago
48,168 skills
- kiro-steering-customgotalab/cc-sddCreate custom steering documents for specialized project contexts. Use when creating domain-specific steering files.PlanningNo warnings★ 3.7K↓ —
- alchemy-cost-tuningjeremylongshore/tons-of-skills-marketplaceGovern Alchemy compute usage and spend with current account evidence, workload attribution, budgets, and reversible optimizations. Use when forecasting or reducing Alchemy cost. Trigger with "Alchemy cost", "Alchemy compute units", or "reduce Alchemy spend".OtherNo warnings★ 2.9K↓ —
- abridge-hello-worldjeremylongshore/tons-of-skills-marketplaceRun a bounded Abridge smoke test through the documented user workflow using an approved test encounter and no invented API. Use when validating a new tenant or pilot cohort. Trigger with "smoke test Abridge".TestingNo warnings★ 2.9K↓ —
- 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↓ —
- dag-librarycode-yeongyu/oh-my-openagentStores a DAG definition once and re-runs it by name, instead of pasting the definition into every run. Use when the user wants to save a DAG, run a saved one, or schedule the same multi-agent graph repeatedly.OtherNo warnings★ 70.5K↓ —
- kiro-validate-designgotalab/cc-sddInteractive technical design quality review and validationDesignNo warnings★ 3.7K↓ —
- 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↓ —
- kiro-spec-statusgotalab/cc-sddShow specification status and progressPlanningNo warnings★ 3.7K↓ —
- abridge-rate-limitsjeremylongshore/tons-of-skills-marketplaceAnalyze and control capacity, queueing, and backpressure for a tenant-specific Abridge integration without inventing public limits or headers. Use when handling concurrency or throttling requirements. Trigger with "plan Abridge capacity".PlanningNo warnings★ 2.9K↓ —
- adobe-observabilityjeremylongshore/tons-of-skills-marketplaceInstrument Adobe integrations with redacted structured logs, request/job/activation correlation, service-level indicators, alerts, and evidence retention. Use when the task requires adobe content-safe observability. Trigger with "monitor Adobe API", "Adobe observability", or "App Builder logs".DevOpsNo warnings★ 2.9K↓ —
- impeccableUpdatedpbakaus/impeccableUse when the user wants to design, redesign, shape, critique, audit, polish, simplify, harden, animate, or otherwise improve a frontend interface: websites, landing pages, dashboards, product UI, components, forms, settings, onboarding, empty states, and native iOS or Android screens. Handles UX review, hierarchy, layout, typography, color, motion, UX copy, accessibility, responsive behavior, edge cases, and capturing or documenting design systems (DESIGN.md, tokens). Also for making bland UI bolder, loud UI quieter, or ambitious visual effects. Not for backend-only or non-UI tasks.DesignNo warnings★ 97.8K↓ —
- kiro-spec-tasksgotalab/cc-sddGenerate implementation tasks from requirements and design. Use when creating actionable task lists.PlanningNo 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↓ —
- tao-train-bevfusionNVIDIA/skillsBEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".OtherNo warnings★ 3.8K↓ —
- kiro-spec-quickgotalab/cc-sddQuick spec generation with interactive or automatic modePlanningNo 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-validate-designgotalab/cc-sddInteractive technical design quality review and validationDesignNo warnings★ 3.7K↓ —Also in 5 other repos
- kiro-discoverygotalab/cc-sddEntry point for new work. Determines the best action path or work decomposition (update existing spec, create new spec, mixed decomposition, or no spec needed) and refines ideas through structured dialogue.PlanningNo warnings★ 3.7K↓ —
- paid-ads-optimizenowork-studio/notfair-pluginDiagnose wasted paid-ad spend, pacing, and allocation, then propose safe evidence-backed optimizations. Use for waste, negatives, budgets, bid changes, poor CPA or ROAS, underpacing, overspend, or scaling decisions.MarketingNo warnings★ 4.1K↓ —
- 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-validate-designgotalab/cc-sddInteractive technical design quality review and validationDesignNo warnings★ 3.7K↓ —
- package-searchdavepoon/buildwithclaudeSearch for packages and assess security risk before adding as dependenciesSecurityNo warnings★ 3.7K↓ —
- kiro-spec-quickgotalab/cc-sddQuick spec generation with interactive or automatic modePlanningNo warnings★ 3.7K↓ —
tao-finetune-clip
NVIDIA/skills
DevOpsUpdated yesterday
From the author
CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, or deploying CLIP to ONNX/TensorRT. This is a single-action model skill; do not use it for an iterative weak-attribute improvement loop that keeps retraining and evaluating until progress stops, which belongs to tao-run-deft-pas.
Install
npx skills add NVIDIA/skills --skill tao-finetune-clip -a claude-code
Installs to .claude/skills/tao-finetune-clip/ · 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 (23)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/clip-peft.md
- references/error-patterns.md
- references/pas-metrics.md
- references/skill_info.yaml
- references/spec-param-inference.md
- references/spec_template.yaml
- references/spec_template_deploy.yaml
- references/spec_template_evaluate.yaml
- +11 more