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.
48,622 skills from 2,355 repositories · updated 10 hours ago
48,622 skills
- gsd:managerdavepoon/buildwithclaudeInteractive command center for managing multiple phases from one terminalOtherNo warnings★ 3.7K↓ —
- gsd:workstreamsdavepoon/buildwithclaudeManage parallel workstreams — list, create, switch, status, progress, complete, and resumeOtherNo warnings★ 3.7K↓ —
- hex-common-errorsjeremylongshore/tons-of-skills-marketplaceDiagnose and fix Hex common errors and exceptions. Use when encountering Hex errors, debugging failed requests, or troubleshooting integration issues. Trigger with phrases like "hex error", "fix hex", "hex not working", "debug hex".EngineeringNo warnings★ 2.9K↓ —
- jetson-derive-carrierNVIDIA/skillsBootstrap a custom carrier board by forking carrier files and scaffolding a DT overlay from the reference devkit. Use after jetson-init-source; not for module-level or kernel-DTB changes.OtherNo warnings★ 3.8K↓ —
- review-workcode-yeongyu/oh-my-openagentPost-implementation gate review: run manual QA on the real surface yourself, then launch ONE gate reviewer (never a panel) to audit goal, constraints, code quality, security, missed context, and QA evidence. Use before a PR handoff or when the user explicitly asks to review completed work.EngineeringNo warnings★ 70.6K↓ —
- doca-argpNVIDIA/skillsUse this skill for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / removing / renaming flags; wiring `doca_argp_init` → register params → `doca_argp_start` → `doca_argp_destroy` in order; picking a parameter type from the full public enum (`DOCA_ARGP_TYPE_STRING`, `_INT`, `_BOOLEAN`, `_DEVICE`, `_DEVICE_REP`, `_DOUBLE` — six values, not three); preserving the built-in DOCA flags (`-h` `-v` `-l` `--sdk-log-level` `--log-filter` `-j`/`--json`, NOT `--json-config`); `--device` is per-program; or debugging `DOCA_ERROR_BAD_STATE` / `INVALID_VALUE` / `NOT_SUPPORTED` / `IO_FAILED` from `doca_argp_*`. Trigger on implicit phrasings: "add a custom flag to a DOCA sample", "should I use getopt here", "BAD_STATE registering a new param", "my JSON config key is rejected", or "my sample's --json is ignored". Refuse and route elsewhere for variadic-flag / subcommand / shell-completion features, DOCA Core context, or DOCA Log internals.EngineeringNo warnings★ 3.8K↓ —
- codejeremylongshore/tons-of-skills-marketplaceUse BEFORE generating, refactoring, reviewing, or debugging code. Trigger phrases include "write a function/script/class for X", "review this code/diff/PR", "refactor this", "debug this error", "is this implementation correct", "what's wrong with this code", "improve this code", "translate from X to Y", or any prompt with a code block the user wants you to act on. Also fires when planning architectural changes, picking algorithms or data structures, or evaluating dependency upgrades. Calls the code MCP tool to retrieve an engineering scaffold (failure pattern, procedure, correct-pattern example, verification step) before generating. Catches hallucinated APIs, lost edge cases, premature algorithm commitment, silent contract violations, refactors that change behavior masked by passing tests. Do NOT trigger for pure code reading with no action requested, simple syntax questions, file system operations, running existing tests, or confirming an existing pattern is fine.EngineeringNo warnings★ 2.9K↓ —
- principle-exhaust-the-design-spacemichael-denyer/pstack-claudeApply when facing a novel UI interaction or architectural decision with no precedent in the codebase. Build 2-3 competing prototypes and compare side by side before committing.DesignNo warnings★ 3.7K↓ —
- create-formal-verification-skillmichael-denyer/pstack-claudeGenerate a project-local skill that formally verifies the code where a bug costs the most and tests reach the least, in any language, with whichever verification tool fits. Use for /create-formal-verification-skill, "model-check this race", "prove this invariant", or when concurrency, retries, state machines, parsers, or unsafe code need more than tests.TestingNo warnings★ 3.7K↓ —
- harness-writingtrailofbits/skillsDesigns and improves fuzzing harnesses for C/C++ and Rust. Covers mapping raw bytes onto a target API, generating structured inputs, avoiding non-determinism and false crashes, and deciding what to fuzz together. Use when writing a first LLVMFuzzerTestOneInput or fuzz_target! harness, when a campaign finds nothing or reports crashes that will not reproduce, or when the target API needs structured rather than raw input.WritingNo warnings★ 7.9K↓ —
- distilldavepoon/buildwithclaudeSynthesize wiki pages from related memories. One endpoint, one flow: daemon clusters and synthesizes what it can; agent finishes whatever the daemon couldn't (no LLM or cluster too big). Invoked as `/distill [target]`.OtherNo warnings★ 3.7K↓ —
- figma-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect Figma API diagnostic evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Figma API problems. Trigger with phrases like "figma debug", "figma support bundle", "collect figma logs", "figma diagnostic".DesignNo warnings★ 2.9K↓ —
- gsd:audit-fixdavepoon/buildwithclaudeAutonomous audit-to-fix pipeline — find issues, classify, fix, test, commitTestingNo warnings★ 3.7K↓ —
- lindy-rate-limitsjeremylongshore/tons-of-skills-marketplaceManage Lindy AI credits, rate limits, and usage optimization. Use when hitting rate limits, optimizing credit consumption, or implementing usage controls. Trigger with phrases like "lindy rate limit", "lindy credits", "lindy quota", "lindy throttling", "lindy API limits".EngineeringNo warnings★ 2.9K↓ —
- tao-train-oneformerNVIDIA/skillsOneFormer for universal image segmentation. Unifies panoptic, instance, and semantic segmentation with a single architecture using task-conditioned queries. Use when training, evaluating, exporting, quantizing, or running inference for a TAO OneFormer model. Trigger phrases include "train OneFormer", "universal segmentation", "task-conditioned segmentation", "panoptic / instance / semantic in one model".MediaNo warnings★ 3.8K↓ —
- fondo-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect diagnostic information for Fondo support including integration status, transaction discrepancies, and financial data reconciliation issues. Trigger: "fondo debug", "fondo support", "fondo diagnostic", "fondo reconciliation".EngineeringNo warnings★ 2.9K↓ —
- nemotron-retrieval-recipesNVIDIA/skillsUse when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.DevOpsNo warnings★ 3.8K↓ —
- briefdavepoon/buildwithclaudeSession-start briefing from Origin. Reads the project status file (the /handoff-maintained ledger of Active/Backlog work), then loads identity, preferences, and topic-relevant memories so the agent walks in with context. Surfaces any memories the daemon has flagged for human revision before the session uses them. Invoked as `/brief [topic]`. Call FIRST at session start, before any other Origin verb.ProductivityNo warnings★ 3.7K↓ —
- 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★ 98.9K↓ —
- 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★ 3.8K↓ —
- tao-finetune-kumo-anomalyNVIDIA/skillsKumo-Anomaly — diffusion-based anomaly detection and fine-tuning for multivariate time series. Use when the user asks to "fine-tune Kumo-Anomaly", "run Kumo-Anomaly inference", "detect anomalies with diffusion", "time series anomaly detection", "finetune Kumo-Anomaly", "use perform_anomaly_analysis_with_diffusion", "automl Kumo-Anomaly", "hyperparameter search Kumo-Anomaly", "hyperparameter optimization" or mentions "curriculum_medium.yaml", "final_model.pth", "kumo-anomaly", "sdk/anomaly_analysis", or "TSDiffuser_Generic".OtherNo warnings★ 3.8K↓ —
- tao-run-inference-serviceNVIDIA/skillsStart, query, and stop a network-specific TAO inference microservice ({network_arch}-inference-microservice) by delegating container execution to the appropriate platform skill. Handles container image resolution, job-payload JSON construction, and the service registry. Use when the user wants to run inference on a TAO model checkpoint using a microservice container, deploy a TAO inference endpoint, or stop a running inference container.DevOpsNo warnings★ 3.8K↓ —
- tao-finetune-clipNVIDIA/skillsCLIP 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.DevOpsNo warnings★ 3.8K↓ —
- genotoxictrailofbits/skillsGraph-informed mutation testing triage. Parses codebases with Trailmark, runs mutation testing and necessist, then uses survived mutants, unnecessary test statements, and call graph data to identify false positives, missing test coverage, and fuzzing targets. Use when triaging survived mutants, analyzing mutation testing results, identifying test gaps, finding fuzzing targets from weak tests, running mutation frameworks (including circomvent and cairo-mutants), or using necessist.TestingNo warnings★ 7.9K↓ —
golang-samber-oops
samber/cc-skills-golang
ProductivityUpdated 14 hours ago
From the author
Structured error handling in Golang with samber/oops — error builders, stack traces, error codes, error context, error wrapping, error attributes, user-facing vs developer messages, panic recovery, and logger integration. Apply when using or adopting samber/oops, or when the codebase already imports github.com/samber/oops.
Install
npx skills add samber/cc-skills-golang --skill golang-samber-oops -a claude-code
Installs to .claude/skills/golang-samber-oops/ · 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
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (3)
- SKILL.md
- evals/evals.json
- references/advanced.md