Agent Workflows

Reusable agent workflows and orchestration patterns

926 skills available

Skills List

llm-security

llm-security

293agent-workflows

Security guidelines for LLM applications based on OWASP Top 10 for LLM 2025. Use when building LLM apps, reviewing AI security, implementing RAG systems, or asking about LLM vulnerabilities like 'prompt injection' or 'check LLM security'. IMPORTANT: Always consult this skill when building chatbots, AI agents, RAG pipelines, tool-using LLMs, agentic systems, or any application that calls an LLM API (OpenAI, Anthropic, Gemini, etc.) — even if the user doesn't explicitly mention security. Also use when users import 'openai', 'anthropic', 'langchain', 'llamaindex', or similar LLM libraries.

semgrep avatarsemgrep
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ralph-wiggum

ralph-wiggum

288agent-workflows

Autonomous AI coding with spec-driven development. Implements Geoffrey Huntley's iterative bash loop methodology where agents work through specs one at a time, outputting a completion signal only when acceptance criteria are 100% met.

fstandhartinger avatarfstandhartinger
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skill-doctor

skill-doctor

286agent-workflows

Grades agent skills by scoring agent conversations against efficiency and code-quality rubrics, then drafts concrete skill edits and a shareable report. Use when the user wants their agent setup graded from real conversation history, or asks which of their installed skills are actually working.

warpdotdev avatarwarpdotdev
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ultrathink

ultrathink

282agent-workflows

Display colorful ANSI art of the word "ultrathink". Use when the user says "ultrathink" or invokes /ultrathink.

intellectronica avatarintellectronica
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youtube-transcript

youtube-transcript

279agent-workflows

Extract transcripts from YouTube videos. Use when the user asks for a transcript, subtitles, or captions of a YouTube video and provides a YouTube URL (youtube.com/watch?v=, youtu.be/, or similar). Supports output with or without timestamps.

intellectronica avatarintellectronica
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adversarial-review

adversarial-review

267agent-workflows

Adversarial code review using cross-model approach. Spawns reviewers on the opposing model (Claude uses Codex, Codex uses Claude) to challenge work from distinct critical lenses. Produces a synthesized verdict with findings and lead judgment. Triggers: "adversarial review".

poteto avatarpoteto
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day2-create-context-sync-skill

day2-create-context-sync-skill

246agent-workflows

AI Native Camp Day 2 Context Sync 스킬 만들기. 여러 외부 도구에서 컨텍스트를 수집하여 하나의 sync 문서로 만드는 나만의 스킬을 직접 구축한다. "2일차", "Day 2", "context sync", "컨텍스트 싱크", "sync 스킬", "스킬 만들기", "정보 수집 스킬" 요청에 사용.

ai-native-camp avatarai-native-camp
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day2-supplement-mcp

day2-supplement-mcp

246agent-workflows

Day 2 보충 자료 - MCP 딥다이브. Claude Code에 외부 도구를 연결하는 MCP를 체계적으로 배운다. "MCP 배우기", "MCP 보충", "MCP 강의", "MCP 학습" 요청에 사용.

ai-native-camp avatarai-native-camp
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day4-wrap-and-analyze

day4-wrap-and-analyze

246agent-workflows

AI Native Camp Day 4 Wrap & Analyze. session-wrap 스킬을 직접 만들고, history-insight와 session-analyzer로 세션을 분석한다. "4일차", "Day 4", "wrap", "세션 분석", "session wrap", "세션 래핑" 요청에 사용.

ai-native-camp avatarai-native-camp
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day5-fetch-and-digest

day5-fetch-and-digest

246agent-workflows

AI Native Camp Day 5 콘텐츠 소화 스킬 만들기. fetch-tweet, fetch-youtube, content-digest 3개 스킬을 직접 만들고 활용한다. "5일차", "Day 5", "fetch", "콘텐츠 스킬", "트윗 스킬", "유튜브 스킬", "다이제스트 스킬" 요청에 사용.

ai-native-camp avatarai-native-camp
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day1-onboarding

day1-onboarding

244agent-workflows

AI Native Camp Day 1 온보딩. Claude와 대화하면서 Claude Code를 익힌다. "1일차", "Day 1", "온보딩" 요청에 사용.

ai-native-camp avatarai-native-camp
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baidu-drive

baidu-drive

227agent-workflows

百度网盘(Baidu Drive)文件管理 — 上传、下载、转存、分享、搜索、移动、复制、重命名、创建文件夹。 同时支持 Agent 记忆备份/恢复(kimiclaw/maxclaw/qclaw/openclaw)。 TRIGGER: 用户提及"百度网盘/bdpan/网盘/云盘/baidu drive/Baidu Drive"并涉及文件操作; 或用户提及"备份记忆"、"恢复记忆"、"查看记忆备份"等记忆相关操作。 DO NOT TRIGGER: 非文件存储操作,或使用其他云盘服务时;本地记忆整理/清理操作;PPT 生成操作(已独立为 baidu-wenku-aippt skill)。

baidu-netdisk avatarbaidu-netdisk
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assistant-mcp

assistant-mcp

211agent-workflows

Connect AI coding agents (Claude Code, Cursor, VS Code, OpenAI Codex) to Grafana Cloud via the `mcp-grafana` Model Context Protocol server. Installs the server with `go install`, generates a Grafana service-account token, wires `~/.claude/settings.json` or `~/.cursor/mcp.json` with the `command` + `env` block, runs `--disable-write` for safer read-only sessions, switches to SSE transport for team-shared / VS Code setups, and verifies with `/mcp` + a `list_datasources` round-trip. Use when connecting Claude Code to Grafana, setting up MCP for Grafana, configuring the Grafana MCP server, using Grafana tools in Cursor/VS Code, querying Grafana from an AI agent, sharing the MCP server across a team — even when the user says "give my agent Grafana access", "let Claude see my metrics", or "Cursor + Grafana" without saying "MCP".

grafana avatargrafana
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byted-mediakit-shared

byted-mediakit-shared

197agent-workflows

MediaKit 是面向音视频与图像处理的专业工具集,覆盖视频剪辑与合成、音频处理、视频理解与增强、图像处理与内容理解等工作流。用户明确提出剪辑、拼接、裁剪、转场、滤镜、运镜、混音、提取字幕、语音转字幕、音视频处理、图片处理、视频分析或画质增强目标时,先加载本 Skill,再按对象和目标选择 audio、editing、image 或 video。不承担具体能力参数说明。

volcengine avatarvolcengine
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cmake

cmake

188agent-workflows

CMake build system skill for C/C++ projects. Use when writing or refactoring CMakeLists.txt, configuring out-of-source builds, selecting generators (Ninja, Make, VS), managing targets and dependencies with target_link_libraries, integrating external packages via find_package or FetchContent, enabling sanitizers, setting up toolchain files for cross-compilation, or exporting CMake packages. Activates on queries about CMakeLists.txt, cmake configure errors, target properties, install rules, CPack, or CMake presets.

mohitmishra786 avatarmohitmishra786
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linkedin-ghostwriting

linkedin-ghostwriting

178agent-workflows

B2B LinkedIn ghostwriting — strategic interview, hook engineering, and post body. Use when the user wants to write LinkedIn content, create ghostwritten posts, ghostwrite for a founder or executive, develop a B2B social strategy, or needs hooks, post structures, or copywriting frameworks for LinkedIn. Apply when the user shares a story, result, or insight and wants it turned into a post.

samber avatarsamber
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conventional-git

conventional-git

178agent-workflows

Conventional Commits v1.0.0 branch naming, worktree naming, and commit message standards for GitHub and GitLab projects. Use when creating branches, naming worktrees, writing commits, generating commit messages, reviewing branch conventions, or setting up changelog automation. Apply when your project needs consistent git history, SemVer-driven releases, parseable changelog generation, or automatic issue closing. Trigger when the user asks how to name a worktree, create a git worktree, or organize worktrees alongside branches.

samber avatarsamber
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press-release-writer

press-release-writer

178agent-workflows

Write professional press releases for any occasion, media type, and country. Use when the user wants to write, draft, or improve a press release, communiqué de presse, media announcement, news release, or PR statement — including product launches, funding rounds, partnerships, crisis communications, earnings, executive hires, events, M&A, open source milestones, and media advisories. Covers all release types, media targets (print, digital/wire, broadcast, social/SMPR, trade press), and region-specific conventions (Western/Eastern Europe, Americas, Middle East, Africa, Asia, Oceania). Also trigger when the user says 'I need to announce something' or 'how do I tell the press about X.'

samber avatarsamber
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humaniseur-fr

humaniseur-fr

178agent-workflows

Remove AI-writing patterns from French text and inject voice, personality, and soul. Use when editing, reviewing, rewriting, or cleaning up French content that reads like ChatGPT/Claude output. Humanize, humanise, déslopifier. Detects and fixes 27 patterns: AI vocabulary overuse (crucial, essentiel, notamment, par ailleurs, dans le paysage), anglicisms from English-first models (faire du sens, adresser un problème), copula avoidance, formulaic openings (À l'ère de, Dans le paysage actuel), superficial participle analyses (-ant), em dash overuse, redundant adjective doublets, rule of three, sycophantic tone, typographic tells (curly quotes instead of guillemets). Trigger on: humaniser, déslopifier, rendre plus humain, nettoyer le texte IA, enlever le slop, réécrire pour que ça sonne humain, make it sound human.

samber avatarsamber
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promql-cli

promql-cli

178agent-workflows

CLI for querying Prometheus and PromQL-compatible engines (Thanos, Cortex, VictoriaMetrics, Grafana Mimir, Grafana Tempo...) — instant queries, range queries, metric discovery (metrics/labels/meta subcommands), output formats (table/csv/json/graph). Apply when executing PromQL queries, troubleshooting performance issues on a software having observability, investigating latency/error rates/saturation, or analyzing time series data.

samber avatarsamber
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training-report

training-report

178agent-workflows

Produce a professional training/workshop report as a .docx file. Use this skill whenever the user mentions "training report", "workshop report", "compte rendu", "compte rendu de formation", "formation report", "debriefing a workshop", "write up a training session", "résumé de formation", or any request to document a training session, workshop, or onboarding event with individual participant feedback and recommendations. Also trigger when the user says things like "I just ran a workshop and need to write it up", "help me summarize what happened in my training session", or "I need to report back to management about a session I ran". Always use this skill — for short or long sessions, across any discipline (technical, soft skills, creative, compliance, onboarding, etc.) — whenever a structured written deliverable about a training event is needed.

samber avatarsamber
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getnote-auth

getnote-auth

176agent-workflows

安装和连接得到大脑,完成浏览器授权、环境诊断、配额检查、CLI 升级与领域 Skill 同步。用户说“安装/连接/登录/更新得到大脑”“检查为什么不能用”“查看额度”时使用。

iswalle avatariswalle
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getnote-tag

getnote-tag

176agent-workflows

查看得到大脑笔记已有标签,为笔记添加标签,或按真实标签 ID 安全删除标签,并避免误删系统标签或覆盖其他标签。

iswalle avatariswalle
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mongodb-natural-language-querying

mongodb-natural-language-querying

164agent-workflows

Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.

mongodb avatarmongodb
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