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 11 hours ago
48,622 skills
- gsd:scandavepoon/buildwithclaudeRapid codebase assessment — lightweight alternative to /gsd:map-codebaseOtherNo warnings★ 3.7K↓ —
- golang-spf13-vipersamber/cc-skills-golangGolang configuration library using spf13/viper — layered precedence (flag > env > file > KV > default), BindPFlag/BindPFlags, SetEnvPrefix + SetEnvKeyReplacer + AutomaticEnv, ReadInConfig + ConfigFileNotFoundError, Unmarshal + mapstructure struct tags, Sub for sub-trees, WatchConfig + OnConfigChange for hot reload, viper.New() for test isolation, and remote KV integration. Apply when using or adopting spf13/viper, or when the codebase imports `github.com/spf13/viper`. For CLI command structure alongside viper, see the `samber/cc-skills-golang@golang-spf13-cobra` skill. For general CLI architecture, see `samber/cc-skills-golang@golang-cli`.TestingNo warnings★ 3.7K↓ —
- golang-documentationsamber/cc-skills-golangComprehensive documentation guide for Golang projects, covering godoc comments, README, CONTRIBUTING, CHANGELOG, Go Playground, Example tests, API docs, and llms.txt. Use when writing or reviewing doc comments, documentation, adding code examples, setting up doc sites, or discussing documentation best practices. Triggers for both libraries and applications/CLIs.TestingNo warnings★ 3.7K↓ —
- gsd:quickdavepoon/buildwithclaudeExecute a quick task with GSD guarantees (atomic commits, state tracking) but skip optional agentsProductivityNo warnings★ 3.7K↓ —
- searchtaishi-i/awesome-ChatGPT-repositoriesSearch 2500+ curated ChatGPT and LLM open-source repositories. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, RAG, agents, langchain, NLP, AI development, or any open-source AI tooling.OtherNo warnings★ 3.3K↓ —
- shopify-functionsjeremylongshore/tons-of-skills-marketplaceBuild Shopify Functions for custom discount, payment, and delivery logic in a WASM sandbox. Use when creating custom discount rules, payment customizations, delivery options, or cart transformations that run server-side at checkout. Trigger with phrases like "shopify functions", "shopify discounts", "shopify wasm", "custom discount function", "shopify checkout customization".OtherNo warnings★ 2.9K↓ —
- exa-observabilityjeremylongshore/tons-of-skills-marketplaceInstrument Exa calls with content-free metrics, traces, cost, and asynchronous lifecycle signals that support diagnosis without logging retrieved text. Use when operating or reviewing this Exa boundary. Trigger with "Exa observability", "review Exa observability", or "fix Exa observability".DevOpsNo warnings★ 2.9K↓ —
- golang-spf13-cobrasamber/cc-skills-golangGolang CLI command tree library using spf13/cobra — cobra.Command, RunE vs Run, PersistentPreRunE hook chain, Args validators (NoArgs, ExactArgs, MatchAll, custom), persistent vs local flags, command groups, ValidArgsFunction, RegisterFlagCompletionFunc, ShellCompDirective, usage/help template customization, man-page and markdown doc generation, and testing with SetArgs/SetOut/SetErr. Apply when using or adopting spf13/cobra, or when the codebase imports `github.com/spf13/cobra`. For configuration layering alongside cobra, see the `samber/cc-skills-golang@golang-spf13-viper` skill. For general CLI architecture (project layout, exit codes, signal handling, I/O patterns), see `samber/cc-skills-golang@golang-cli`.TestingNo warnings★ 3.7K↓ —
- code-maturity-assessortrailofbits/skillsSystematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing, then produces a scorecard with evidence-based ratings and a priority-ordered roadmap. Use when assessing or scoring the maturity of a smart contract or blockchain codebase, producing a maturity scorecard or evaluation, or judging how mature, well-tested, or well-documented such a project is against a rubric.EngineeringNo warnings★ 7.9K↓ —
- gsd:fastdavepoon/buildwithclaudeExecute a trivial task inline — no subagents, no planning overheadPlanningNo warnings★ 3.7K↓ —
- website-generatorjeremylongshore/tons-of-skills-marketplaceUse when the user asks to create a website, build a site, generate a landing page, or mentions B12. Trigger phrases: "create a website", "build me a site", "website for my business", "generate a landing page", "B12 website". Trigger with 'website', 'generator'.DesignNo warnings★ 2.9K↓ —
- quit-sponsorjeremylongshore/tons-of-skills-marketplaceTurns an AI agent with persistent memory into a quit-smoking sponsor. Use when a person asks for help quitting smoking (cigarettes or other smoked tobacco), announces they are quitting, reports a craving, a slip, or a relapse, goes silent mid-quit, or asks the agent to witness and track a quit. Provides evidence-based protocols (immediate execution of the quit decision, urge surfing, slip attribution coaching, withdrawal timelines, nutrition and alcohol rules, NRT guidance, a two-year aftercare cadence) plus a sponsor decision tree with an order-of-operations for colliding rules, a three-clause contract, purge ritual, graded live-crisis ladder for a pack already in hand, wave protocol, slip and post-relapse protocols, recurrence escalation, silence protocol, a Ulysses pact, a red-flag medical playbook, high-risk situation mapping, if-then plans, and a timestamped logbook. Includes a low-verbal client mode and an optional module for cannabis co-use and tobacco-mixed joints. Not a medical device.ScienceNo warnings★ 2.9K↓ —
- ulw-loopcode-yeongyu/oh-my-openagentA goal-like loop that decomposes work into systematic, evidence-bound ultrawork steps. Use when the user wants a goal loop or durable, checkpointed execution.OtherNo warnings★ 70.6K↓ —
- golang-pkg-go-devsamber/cc-skills-golangGolang package and module lookup via `godig`, a pkg.go.dev API client (CLI + MCP server). Use for any Go/Golang library's documentation, API signatures, symbols, usage examples, which versions exist, licenses, whether a dependency has CVEs, or who imports a package — prefer this over Context7 for any Go package or module. Read-only, no auth. Not for upgrading dependencies (→ See `samber/cc-skills-golang@golang-dependency-management` skill), choosing a library (→ See `samber/cc-skills-golang@golang-popular-libraries` skill), or local symbols and an already-used dependency's resolved source, call sites, and generic instantiations (→ See `samber/cc-skills-golang@golang-gopls` skill).EngineeringNo warnings★ 3.7K↓ —
- doca-dpaNVIDIA/skillsUse this skill when the user is doing hands-on DOCA DPA host-side work on a BlueField — creating the `doca_dpa` Core context, loading a DPACC-compiled DPA app image (`doca_dpa_app`), creating DPA threads, launching kernels via `doca_dpa_kernel_launch_update_*`, draining `doca_dpa_completion`, running `doca_dpa_cap_*` discovery, choosing between the DPA comm component (inter-DPA messaging) and the DPA verbs component (in-kernel RDMA), or debugging `DOCA_ERROR_*` from `doca_dpa_*`. Trigger even without "DOCA DPA" or "Data-Path Accelerator": "run compute on the DPA from my host", "DPA kernel hangs, no completion", "DOCA_ERROR_DRIVER on launch", "DOCA/DPACC version skew", or "does this BlueField expose a DPA". Route elsewhere for DPA-side kernel programming itself, DPACC compiler internals, host↔DPU messaging (doca-comch), host-side RDMA (doca-rdma), and GPU-initiated networking (doca-gpunetio).MediaNo warnings★ 3.8K↓ —
- principle-explain-the-numberbacknotprop/pstackApply before you measure, and before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.OtherNo warnings★ 3.3K↓ —
- doca-dtsNewNVIDIA/skillsDeploy and configure the NVIDIA DOCA Telemetry Service (DTS) as it is actually run: (A) BlueField (built-in static pod), (B) Host (docker) on x86_64 / aarch64, or (C) DPF (DPUService / helm chart) — plus the shared configuration layer (`dts_config.ini`, providers, exporters, level labels) that all three share. The user's DEPLOYMENT TYPE decides everything; pick it first. Trigger even without "DTS" for "prometheus on the DPU shows nothing on 9100", "telemetry container exits right after start", "add ethtool counters to the telemetry DPUService", "how do I upgrade the built-in telemetry on BlueField", or "level labels per rack/pod". Refuse and route elsewhere for installing DOCA itself, the `doca_telemetry` / `doca_telemetry_exporter` library API, installing the DPF cluster, Grafana / Prometheus server setup or dashboard / PromQL authoring, and BFB / BSP imaging — those belong to other skills or to external products.DevOpsNo warnings★ 3.8K↓ —
- golang-samber-hotsamber/cc-skills-golangIn-memory caching in Golang using samber/hot — eviction algorithms (LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, FIFO), TTL, cache loaders, sharding, stale-while-revalidate, missing key caching, and Prometheus metrics. Apply when using or adopting samber/hot, when the codebase imports github.com/samber/hot, or when the project repeatedly loads the same medium-to-low cardinality resources at high frequency and needs to reduce latency or backend pressure.ProductivityNo warnings★ 3.7K↓ —
- security-researchcode-yeongyu/oh-my-openagentTeam Mode security research skill. Orchestrates 3 vulnerability hunters and 2 PoC engineers to audit a codebase in parallel, prove exploitability, classify root causes, and calibrate severity by actual exploitability. Use for security review, vulnerability research, exploitability audit, pre-release security check, threat model validation, and `/security-research`. Triggers: 'security-research', 'security research', 'security review', 'vulnerability audit', 'exploitability audit', '보안 리뷰', '취약점 감사'.SecurityNo warnings★ 70.6K↓ —
- principle-prove-it-worksmichael-denyer/pstack-claudeApply after completing a task, before declaring done. Verify against the real artifact (run the feature, read the actual value, inspect the diff), not a proxy, self-report, or 'it compiles.'ProductivityNo warnings★ 3.7K↓ —
- gsd:dodavepoon/buildwithclaudeRoute freeform text to the right GSD command automaticallyOtherNo warnings★ 3.7K↓ —
- golang-uber-fxsamber/cc-skills-golangGolang application framework using uber-go/fx — fx.New, fx.Provide, fx.Invoke, fx.Module, fx.Lifecycle hooks, fx.Annotate (name/group/As), fx.Decorate, fx.Supply, fx.Replace, fx.WithLogger, and signal-aware Run(). Apply when using or adopting uber-go/fx, when the codebase imports `go.uber.org/fx`, or when wiring services with fx.New. For raw DI without lifecycle, see `samber/cc-skills-golang@golang-uber-dig` skill.OtherNo warnings★ 3.7K↓ —
- doca-perftestNewNVIDIA/skillsUse this skill when the user is running DOCA Perftest (doca_perftest), the RDMA benchmark that measures bandwidth, message rate and latency for RDMA verbs, point-to-point or across a cluster, with an optional DOCA Verbs backend (-r dv) or GPUNetIO engine (--engine gpunetio). Trigger even when the user does not say "DOCA Perftest" — implicit phrasings include "how do I benchmark RDMA write bandwidth with DOCA", "run ib_write_bw but across 8 nodes", "perftest says the device is busy", "my latency numbers differ between client and server", "launch the server over SSH", or "run an all-to-all RDMA test from a JSON scenario". Refuse and route elsewhere for DOCA install (doca-setup), DOCA Bench (doca-bench), and application-level throughput.TestingNo warnings★ 3.8K↓ —
- mcore-testingNVIDIA/skillsTest system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.TestingNo warnings★ 3.8K↓ —
networkx
foryourhealth111-pixel/Vibe-Skills
From the author
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
Install
npx skills add foryourhealth111-pixel/Vibe-Skills --skill networkx -a claude-code
Installs to .claude/skills/networkx/ · 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
No warnings.
Why 90
Files (6)
- SKILL.md
- references/algorithms.md
- references/generators.md
- references/graph-basics.md
- references/io.md
- references/visualization.md