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.
49,418 skills from 2,407 repositories · updated 18 minutes ago
49,416 skills
- ndss-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an NDSS paper — attack demonstrations, defense evaluations under adaptive adversaries, and Internet measurements — choosing between testbed, emulation, and live experiments and meeting NDSS's deployment-realism evidence bar.DevOpsNo warnings★ 1.4K↓ —
- iclr-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing ICLR experiments, including baselines, ablations, scaling laws, robustness, statistics, benchmarks, human evaluation, and compute reporting. Use when a reviewer questions whether a representation-learning or model gain is real, when you must isolate one mechanism with an ablation, or when preparing a small compute-matched control that can be posted inline during the public discussion period.OtherNo warnings★ 1.4K↓ —
- team-briefhuytieu/COG-second-brainGenerate daily team intelligence brief by cross-referencing GitHub, Linear, Slack, PostHog, meetings, and braindumps with two-way Linear sync-backOtherNo warnings★ 1.3K↓ —Also in 1 other repo
- 01-graders-and-pipelineagentscope-ai/OpenJudgeBuild custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with GradingRunner, combining scores with aggregators, applying evaluation strategies (voting, average), auto-generating graders from data, and analyzing results (pairwise win rates, statistics, validation metrics). Use when the user wants to evaluate LLM outputs, compare multiple models, design scoring criteria, or build an automated evaluation system.DesignNo warnings★ 1.1K↓ —
- financial-analystalirezarezvani/claude-skillsAnalyze financial statements, value a company with a DCF, explain budget variance, build rolling forecasts. Use whenever the user asks what a business is worth or why spend missed budget.FinanceNo warnings★ 29.3K↓ —
- slo-architectalirezarezvani/claude-skillsUse when defining or reviewing SLOs, SLIs, error budgets or burn-rate alerts. Designs SLOs with slo_designer.py, computes budgets and multi-window burn-rate thresholds with error_budget_calculator.py and catches common SLO bugs with slo_review.py.PlanningNo warnings★ 29.3K↓ —
- retrohuytieu/COG-second-brainSelf-evolving second brain with 35 AI skills, 10 agents, and people CRM. Closed-loop harness: a V-model verification lifecycle where the worker never grades its own homework. Plus paired anti-slop design skills for marketing and product UI. Works with Claude Code, Cursor, Kiro, Gemini CLI, Codex.DesignNo warnings★ 1.3K↓ —
- museum-arthuytieu/COG-second-brainSource authentic, high-res PUBLIC-DOMAIN artwork from museum open-access APIs (Met, Cleveland, SMK, Rijksmuseum, NGA, Art Institute of Chicago, Getty, Smithsonian) instead of AI-generated or generic-stock imagery. The default move whenever a visual needs an aesthetic, credible image (blog heroes, decks, social cards, essay/spec figures). Verified keyless recipes + licensing rules inside.MediaNo warnings★ 1.3K↓ —Also in 1 other repo
- skill-installationuvwt/agentdock审查、安装、配置、验证、更新和移除 AgentDock Skill 时使用；负责来源校验、安全评估、环境配置、content digest、精确 skill_ref 与当前 managed 内容验收。OtherNo warnings★ 1.3K↓ —
- uai-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising a UAI manuscript for probabilistic-inference readers, enforcing precise notation for distributions, graphs, and interventions, explicit assumption and identifiability statements, an 8-page main part that carries the whole argument while proofs sit in the appendix, and claims calibrated to what the theory and experiments show.WritingNo warnings★ 1.4K↓ —
- eccv-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental program of an ECCV paper — benchmark selection that survives a September conference, matched-substrate baseline fairness in the foundation-model era, ablations that isolate the claimed mechanism, qualitative failure evidence, and run sequencing toward a March freeze.ScienceNo warnings★ 1.4K↓ —
- deep-workalirezarezvani/claude-skillsUse when someone wants to plan a deep work day, time-block their calendar or task list, budget or cut shallow work, protect focus hours, track deep-work sessions and streaks, run an end-of-day shutdown ritual, or says "/deep-work" or "/time-block". Classifies tasks deep vs shallow, builds an energy-first time-blocked schedule that refuses deep demand past the 4-hour ceiling, batches shallow work into at most two windows, and logs focus sessions against a weekly target.PlanningNo warnings★ 29.3K↓ —
- soda-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.ScienceNo warnings★ 1.4K↓ —
- corl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing experiments for a CoRL robot-learning paper — seeds and evaluation-episode counts, task-suite breadth, real-robot versus simulation evidence, sim-to-real gap measurement, baseline fairness across BC/RL/VLA families, generalization splits, and statistics for success-rate claims.ScienceNo warnings★ 1.4K↓ —
- iccv-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing the experimental program for an ICCV paper against the early-March deadline, covering benchmark-drift audits across the two-year gap, baseline fairness in the foundation-model era, ablations that isolate mechanisms, qualitative and failure evidence, and sequencing runs so the decisive result lands before the deadline, not after.ScienceNo warnings★ 1.4K↓ —
- red-teamalirezarezvani/claude-skillsUse when planning or running an authorized red team engagement or attack path analysis. Plans the kill chain with engagement_planner.py: MITRE ATT&CK techniques, choke points, OPSEC risk and crown jewels.PlanningNo warnings★ 29.3K↓ —
- agentdock-user-guideuvwt/agentdock当用户询问 AgentDock 是什么、如何使用、配置在哪里、不同平台或安装方式怎样修改配置并生效、如何重启或验证配置、如何发现并配置 Codex/Claude/Grok 等 Coding Agent 的 ACP，以及常见运行问题时使用；覆盖 macOS Desktop、Windows Desktop、Linux 服务、Docker 和直接运行二进制，不用于源码开发与贡献流程。DevOpsNo warnings★ 1.3K↓ —
- product-ui-tastehuytieu/COG-second-brainAnti-slop skill for PRODUCT UI - dashboards, data tables, forms, multi-step flows, settings, list/detail, app shells. The agent reads the surface, budgets the frame first, and ships dense interfaces that are correct at every edge case (overflow, long labels, empty/error/loading states, i18n expansion, keyboard/a11y). House-system-first; maps to Carbon/Polaris/Atlaskit/Fluent/Primer/Material3/Radix-shadcn/Ant. The counterpart to taste-skill, which owns landing/portfolio/marketing.DesignNo warnings★ 1.3K↓ —Also in 1 other repo
- release-commshuytieu/COG-second-brainRelease communication pipeline for your product: turn a deployment runsheet and a GitHub milestone into a customer-facing release note with real screenshots and videos, docs updates (including retrofits of articles the release makes stale), a Slack announcement draft, and a lightweight marketing package. Use when you say "cover today's release", "write the release note", or "/release-comms".DevOpsNo warnings★ 1.3K↓ —Also in 1 other repo
- product-demand-researchScrapeCreators/social-media-research-skillsUse when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.ScienceNo warnings★ 5.7K↓ —
- 01-auto-arenaagentscope-ai/OpenJudgeAutomatically evaluate and compare multiple AI models or agents without pre-existing test data. Generates test queries from a task description, collects responses from all target endpoints, auto-generates evaluation rubrics, runs pairwise comparisons via a judge model, and produces win-rate rankings with reports and charts. Supports checkpoint resume, incremental endpoint addition, and judge model hot-swap. Use when the user asks to compare, benchmark, or rank multiple models or agents on a custom task, or run an arena-style evaluation.TestingNo warnings★ 1.1K↓ —
- baoyu-slide-deckJimLiu/baoyu-skillsGenerates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks to "create slides", "make a presentation", "generate deck", "slide deck", or "PPT".DocumentsNo warnings★ 27.3K↓ —
- onboardhashgraph-online/awesome-codex-pluginsUse when taking over an existing codebase that has no living document. Produces a factual record of what already exists.OtherNo warnings★ 1.5K↓ —
- harvesthuytieu/COG-second-brainCapture durable session learnings, stage for human promotion to 05-knowledge/lizard, and propose skill/CLAUDE.md patches. Triggered by /harvest, SessionEnd hook staging, or nightly enhance. Never writes durable knowledge without your approval.WritingNo warnings★ 1.3K↓ —Also in 1 other repo
ai-content-collaboration
rampstackco/claude-skills
LegalUpdated Oct 27, 2026
From the author
How humans and AI compose in content workflows. Where AI legitimately participates, where humans must own, hybrid workflow patterns, voice ownership preservation, the AI slop problem, disclosure and transparency, team calibration, and the ethics of intellectually honest AI-assisted content production. Triggers on AI content workflow, AI-assisted writing, hybrid content production, AI in editorial, AI slop, AI disclosure, AI usage policy, AI content ethics, voice preservation with AI, team AI calibration. Also triggers when content feels generic despite quality tools, when team AI usage has drifted into inconsistency, or when a regulated or trust-sensitive context requires explicit AI policy.
Install
npx skills add rampstackco/claude-skills --skill ai-content-collaboration -a claude-code
Installs to .claude/skills/ai-content-collaboration/ · 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 88
Security100
Provenance76
Maintenance100
Licence100
Adoption49
Files (11)
- README.md
- SKILL.md
- references/ai-participation-boundaries.md
- references/ai-slop-detection-and-avoidance.md
- references/common-collaboration-failures.md
- references/disclosure-and-transparency-patterns.md
- references/ethics-and-intellectual-honesty.md
- references/hybrid-workflow-patterns.md
- references/quality-calibration-with-ai-in-loop.md
- references/team-training-and-calibration.md
- references/voice-ownership-preservation.md