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.
47,966 skills from 2,309 repositories · updated 12 hours ago
47,966 skills
- entity-registryaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "optimize entity presence", reconcile an entity identity, or update canonical Knowledge Graph facts; audits and maintains machine-facing identity, sameAs, schema, disambiguation, and AI-recognition evidence through the entities registry. Not for page-level AI-citation readiness - use geo-content-optimizer; not for human-facing brand canon - use narrative-registry. 实体注册/知识图谱OtherNo warnings★ 3K↓ —
- meta-tags-optimizernowork-studio/notfair-pluginOptimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum click-through rate. Generates multiple A/B test variations with character counting and SERP preview. Use when asked to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "fix my meta tags", "social media preview", "my click rate is low", "title optimization", or any meta tag task.TestingNo warnings★ 4.1K↓ —
- adk-agent-builderjeremylongshore/tons-of-skills-marketplaceScaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional Vertex AI Agent Engine deployment. Use when building, scaffolding, or deploying ADK agents on Google Cloud, or when wiring ADK tools and orchestration patterns. Trigger with "build an ADK agent", "scaffold an agent on ADK", or "deploy to Agent Engine".DevOpsNo warnings★ 2.9K↓ —
- social-pulse-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "monitor brand mentions", "set up social listening", "did anything spike about us this week", or "watch these accounts for buying triggers"; runs always-on keyless listening — a versioned listening-query architecture (brand variants incl. misspellings and 中文 names, exclusion terms, per-source syntax for HN Algolia / Bluesky / GDELT / Tavily), a mention sweep with six-class triage (crisis / bug / lead / praise / question / spam) each routed with an SLA, a 7-day rolling baseline with spike flags (the crisis trigger input), a B2B trigger watchlist (funding / hiring / launch signals), and an explicit coverage disclosure where X/IG/TikTok/LinkedIn/小红书 numbers are proxy-labeled, never Measured. Not for launch-window telemetry (T-0→T+30 rank and review polling) — use launch-monitor. 舆情监听/品牌提及监测/基线突刺/触发信号MarketingNo warnings★ 3K↓ —
- figma-install-authjeremylongshore/tons-of-skills-marketplaceSet up Figma REST API authentication with personal access tokens or OAuth 2.0. Use when connecting to the Figma API, generating tokens, configuring scopes, or setting up OAuth flows for Figma integrations. Trigger with phrases like "install figma", "setup figma API", "figma auth", "figma personal access token", "figma OAuth".DesignNo warnings★ 2.9K↓ —
- apollo-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Apollo.io costs and credit usage. Use when managing Apollo credits, reducing API costs, or optimizing subscription usage. Trigger with phrases like "apollo cost", "apollo credits", "apollo billing", "reduce apollo costs", "apollo usage".EngineeringNo warnings★ 2.9K↓ —
- fixdavepoon/buildwithclaudeGet fix intelligence for a vulnerability and propose concrete remediation for the current repositorySecurityNo warnings★ 3.7K↓ —
- gsd:session-reportdavepoon/buildwithclaudeGenerate a session report with token usage estimates, work summary, and outcomesProductivityNo warnings★ 3.7K↓ —
- cohere-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement Cohere endpoint-aware throttling, bounded retry, and queue backpressure from current limits and observed responses. Use when handling 429s or planning throughput. Trigger with "Cohere rate limit", "Cohere throttling", or "Cohere 429".PlanningNo warnings★ 2.9K↓ —
- context-hunterforyourhealth111-pixel/Vibe-SkillsDiscover codebase patterns, conventions, and unwritten rules before making changes. Use when implementing features, fixing bugs, or refactoring code.ProductivityNo warnings★ 3.8K↓ —
- performance-analyzeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "analyze influencer campaign performance", "compare influencers", or "find what content worked"; produces metric scorecards vs target and benchmark, platform/influencer/content rankings, engagement-quality and sentiment reads, conversion-attribution breakdowns, and ranked learnings. Not for dollar-level return math — use roi-calculator. 达人营销效果分析/投放复盘MarketingNo warnings★ 3K↓ —
- sales-enablement-kitaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build battle cards", "prep the sales team for launch", or "write the internal launch FAQ"; produces the internal enablement kit for a sales-led launch — battle cards vs each named alternative (where we win / where they win / trap questions, every fact traceable), a sales talk track derived from the PR-FAQ spine, an objection-handling table (objection → response → evidence), internal FAQ + CS macros, and an internal launch announcement with embargo discipline. Not for the external message house — use message-house-builder; not for competitor tracking itself — use competitor-tracker or competitor-analysis; not for outbound sequences — use cold-outbound-sequencer. 销售赋能/battle card/销售叙事/异议处理/内部FAQWritingNo warnings★ 3K↓ —
- jetson-video-recipeNVIDIA/skillsUse when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections.MediaNo warnings★ 3.8K↓ —
- 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↓ —
- scikit-bioforyourhealth111-pixel/Vibe-SkillsBiological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.ScienceNo warnings★ 3.8K↓ —
- doca-dmaNVIDIA/skillsUse this skill when the user is doing hands-on DOCA DMA programming — bringing up a doca_dma context, configuring the single doca_dma_task_memcpy task type, sizing buffers via the doca_dma_cap_task_memcpy_* queries, setting LOCAL_READ_ONLY / LOCAL_READ_WRITE permissions on source / destination doca_mmap regions (plus doca_mmap_export_* for cross-peer copies), driving the progress engine, or debugging DOCA_ERROR_* returns. Trigger even when the user does not explicitly mention "DOCA DMA" or "doca_mmap" — typical implicit phrasings include "memcpy host buffer to BlueField without using the CPU", "offload a bulk copy to the DPU", "copy returns NOT_PERMITTED on first submit", "buffer too big for one DMA task", "task submitted but no completion", or "scatter-gather copy between two memory regions". Refuse and route elsewhere for cross-network copies (DOCA RDMA), producer/consumer messaging (DOCA Comch), DOCA Core / progress-engine internals, or DOCA install — those belong to other skills.EngineeringNo warnings★ 3.8K↓ —
- nemo-retriever-mcpNVIDIA/skillsUse when a task needs to search or add documents through NeMo Retriever MCP.ProductivityNo warnings★ 3.8K↓ —
- tao-train-nvdinov2NVIDIA/skillsNVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation (teacher-student) without labels and produces general-purpose visual features. Use when training, exporting, or running inference for a TAO NVDINOv2 backbone. Trigger phrases include "train NVDINOv2", "self-supervised ViT pretraining", "DINOv2 backbone", "visual representation learning".OtherNo warnings★ 3.8K↓ —
- shipping-across-surfaceskajisho5/ffmpeg-skillLand a change everywhere the same fact is stated — enumerating the full surface inventory (landing copy, docs, machine-readable summaries, changelog badges repeated across every page, sitemap, README, descriptions embedded in code, and untyped frontend consumers of typed responses), generating a surface instead of restating it, drift tests where you cannot generate, never hand-maintaining a copy of a surface another codebase owns, shipping a paired PR when you change a format a different codebase decodes, and keeping overloaded product words apart. Use when adding or renaming a user-facing feature, editing product/marketing copy or docs, renaming a serialized response field, changing a serialization or share-link format, wiring one repo's output into another's checks, or reviewing a PR that touched only one place a fact appears.TestingNo warnings★ 4.1K↓ —
- 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↓ —
- mcore-create-issueNVIDIA/skillsInvestigate a failing GitHub Actions run or job and create a GitHub issue for the failure.DevOpsNo warnings★ 3.8K↓ —
- debriefdavepoon/buildwithclaudeAlias for `/origin:handoff` — symmetric brief/debrief naming. Same behavior: end-of-session ritual that writes session log + project status + granular MCP captures. Invoked as `/debrief`. Use when the user prefers the brief/debrief pair over brief/handoff.WritingNo warnings★ 3.7K↓ —
- nikadavepoon/buildwithclaudeRuns repeatable AI work as checked, budgeted workflow files. The agent captures a repeated task as a .nika.yaml DAG, audits cost/permits/schema before a single token is spent, and runs it with tamper-evident traces.ProductivityNo warnings★ 3.7K↓ —
- skyverndavepoon/buildwithclaudeAI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable multi-step workflows using natural language. Install: pip install skyvern && skyvern setupBrowserNo warnings★ 3.7K↓ —
platform-norm-profiler
aaron-he-zhu/aaron-marketing-skills
MarketingUpdated 20 hours ago
From the author
Use when the user asks to "build the norm card for this platform", "what are the char limits and visible-fold cutoffs here", "is the LinkedIn link-in-first-comment thing documented or folklore", or "which of our platform cards are stale"; maintains the dated, versioned per-platform norm cards in the references/platforms/ pack — char limits, visible-fold cutoffs, hashtag norms, format/aspect specs, link and first-comment placement, disclosure-label mechanics, algorithm emphases (e.g. 小红书 search+saves weighting) — every row labeled platform-documented (official doc, Measured) or Estimated-folklore (named source) with last-verified and review-by dates, and any card past its review date flagged stale rather than trusted. Extends the single pack in place; never forks a second one. Not for picking which channels to run — use channel-portfolio-planner. 平台规范卡/字符限制/折叠线/话题标签/算法侧重/过期标记
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill platform-norm-profiler -a claude-code
Installs to .claude/skills/platform-norm-profiler/ · 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
Provenance82
Maintenance100
Licence100
Adoption55
Files (1)
- SKILL.md