Agent Workflows
Reusable agent workflows and orchestration patterns
Skills List
paseo-loop
Run an agent loop until an exit condition is met. Use when the user says "loop", "babysit", "keep trying until", "check every X", "watch", or wants iterative autonomous execution.
getpaseopaseo-committee
Form a committee of two high-reasoning agents to step back, do root cause analysis, and produce a plan. Use when stuck, looping, tunnel-visioning, or facing a hard planning problem.
getpaseopaseo-handoff
Hand off the current task to another agent with full context. Use when the user says "handoff", "hand off", "hand this to", or wants to pass work to another agent.
getpaseopaseo
Paseo reference for managing workspaces, workspace scripts, agents, schedules, and heartbeats.
getpaseo
ian-xiaohei-illustrations
生成 Ian 风格的中文正文配图。用于用户要求为中文文章、帖子、博客、Notion 文档、工作流文档、方法论、流程、结构、状态、隐喻或观点生成“怪诞”“小黑”“手绘”“正文配图”“文章插图”“配图建议”“shot list”“去标题/改图”等任务；默认使用小黑 IP、纯白手绘、少量红橙蓝批注、简洁清爽但天马行空的视觉风格。
helloianneo
huggingface-local-models
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.
huggingfacehuggingface-best
Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. Triggers on: "best model for X", "what model should I use for", "top models for [task]", "which model runs on my laptop/machine/device", "recommend a model for", "what LLM should I use for", "compare models for", "what's state of the art for", or any question about choosing an AI model for a specific use case. Always use this skill when the user wants model recommendations or comparisons, even if they don't explicitly mention HuggingFace or benchmarks.
huggingfacehuggingface-datasets
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
huggingface
spark-engineer
Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure executor memory, process .parquet files, handle data partitioning, or build structured streaming analytics.
jeffallanfeature-forge
Conducts structured requirements workshops to produce feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation checklists. Use when defining new features, gathering requirements, or writing specifications. Invoke for feature definition, requirements gathering, user stories, EARS format specs, PRDs, acceptance criteria, or requirement matrices.
jeffallanthe-fool
Use when challenging ideas, plans, decisions, or proposals using structured critical reasoning. Invoke to play devil's advocate, run a pre-mortem, red team, or audit evidence and assumptions.
jeffallanpandas-pro
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
jeffallan
dxf
Generate, regenerate, and validate 2D DXF drawings from Python ezdxf sources. Use for DXF files, gen_dxf() sources, 2D profiles, outlines, templates, gaskets, panels, flat patterns, laser/plasma/waterjet cut layouts, and 2D drawing exports of CAD geometry.
earthtojakeimplicit-cad
Create, edit, render, and snapshot browser-native implicit CAD `.implicit.js` and `.implicit.mjs` files using GLSL signed-distance fields, shader primitives, smooth booleans, TPMS fields, and direct CAD Viewer raymarch rendering. Experimental.
earthtojake
dbs-skill-maker
通过需求分析把反复出现的问题制作成可安装、可分级验证的单个 Skill。用户要求做 Skill、把问题沉淀成 Skill、检查或测试候选 Skill 时使用；只有用户明确要求分享或发布时，才准备 GitHub 仓库并验证 `npx skills add`。
dontbesilent2025dbs-install-skill
将单个 Skill 或 Skill 集合安装到通用 Agents、Claude Code、Codex、WorkBuddy、Grok、Hermes Agent、Kiro、Qwen Code、Cline 等 Agent。用户要求跨 Agent 安装、同步、查看、去重或卸载 Skill 时使用。
dontbesilent2025dbs-jtbd
dontbesilent JTBD 任务澄清。用 Jobs to Be Done 识别具体情境中用户想推进的进展、切换方案的力量与可观察的选择标准，据此优化产品、内容、服务、决策和 AI 提示词。调用名：/dbs-jtbd。用户问「到底要解决什么」「为什么会选择这个方案」「用 JTBD 重写提示词」时使用。
dontbesilent2025gcode
Generate, inspect, dry-run, and statically validate plain FDM `.gcode` from 3D mesh files by orchestrating real slicer CLIs. Use when Codex needs to slice `.stl`, `.obj`, unsliced `.3mf`, `.ply`, `.glb`, or `.gltf` into printer-profiled G-code, discover local slicer backends, inspect whether a mesh is slice-ready, or validate generated G-code before any printer-specific handoff.
earthtojakebambu-labs
Dry-run, upload, and cautiously initiate local Bambu Lab print jobs from validated plain `.gcode`, using Bambu LAN FTPS/MQTT handoffs.
earthtojake
cangjie-skill
Distill a book, long-video transcript, podcast, course, or interview into a coherent set of executable skills. Use when the user asks to "拆书" / "蒸馏一本书" / "把 XX 书做成 skill" / "把这个视频/播客/课程蒸馏成 skill" / "turn a book or video into skills" — i.e. wants the frameworks, principles, and methodologies in long-form content extracted into atomic, reusable Claude skills that an agent can invoke in real-world situations. NOT for simple summarization, book reviews, or role-playing as the author (that is nuwa-skill's job).
kangarookingdbs-standard-answer
从商业史、管理史、技术史、职业史和制度史中寻找与现实困境同构的成功、失败和反例，提炼带条件的重复机制。用户要求历史类比、经典解法或标准答案时使用。
dontbesilent2025
hunk-review
Interacts with live Hunk diff review sessions via CLI. Inspects review focus, navigates files, hunks, and exact lines, reloads session contents, adds inline review comments, and paints attention marks on character ranges. Use when the user has a Hunk session running or wants to review diffs interactively.
modem-devdbs-knowledge
dontbesilent 文件夹知识库。把用户已有的本地文件夹变成 Agent 能稳定查找、收录和维护的知识库；用户没有资料时建立最小知识库，有资料时生成知识库导航，后续支持放入新资料、查找答案、识别当前版本、检查知识库、精确更新导航，以及对膨胀的知识库导航进行瘦身和分层治理。用户提到「搭建知识库」「我的文件夹就是知识库」「让 AI 读懂这些文件」「把资料放进知识库」「从知识库找东西」「更新知识库」「更新知识库导航」「优化 SOT」「SOT 太大」「瘦身 Source of Truth」「知识库导航太长」「把明细下沉到 README」「刚才的文件加入知识库」「这条路径写错了」「把这个设为最新版」「哪个文件是最新版」「资料太乱」「建立 Source of Truth」时都应使用。用户无需理解 Source of Truth、RAG 或 Agent 配置。 Folder-based knowledge base for AI agents. Use whenever the user wants to build, populate, query, organize, audit, slim, or connect a local folder as a knowledge base, including source-of-truth navigation, layered indexing, and version resolution.
dontbesilent2025dbs-skill-cleaner
本地 skill 清理器。扫描 Claude Code、Codex、Grok、通用 Agents 及指定目录中的 skill，识别广告导流、隐蔽商业意图、任务劫持、可疑外部调用、敏感数据读取等违背用户授权的内容；默认只出报告，经用户确认后隔离问题 skill。 触发方式：/dbs-skill-cleaner、/清理 skill、/检查 skill、「扫描本地 skill」「检测 skill 广告」「清除有问题的 skill」「审查我的 skill」 Local skill cleaner. Scans installed or specified skills for advertising, covert commercial intent, task hijacking, suspicious external calls, and sensitive-data access. Reports first and quarantines only after explicit confirmation. Trigger: /dbs-skill-cleaner, /clean skills, /check skills, "scan my local skills", "detect skill ads", "clean problematic skills"
dontbesilent2025