Enter "plan mode" for a coding task — read the relevant code, optionally ask clarifying questions, design one recommended approach, then write a plain, scannable plans/ - .md file. No source files are edited in this mode. Use this skill whenever the user says "plan mode", "/coding-plan", "make a plan", "draft a plan…
Enter "plan mode" for a deep-research or article-writing task — search the web, fetch sources, optionally run experiments in Python/Node, design one recommended outline and research strategy, then write a plain, scannable plans/ - .md file. No article content is drafted in this mode. Use this skill whenever the user…
Headless root-cause debugging loop for a Foreman worker whose tests, build, or acceptance check are failing — especially on a retry. Find the root cause before changing anything, fix at the source with a regression test, and never thrash on symptom patches. Used inside a foreman-tdd build session; emits no summary of…
Headless grilling pass that challenges an approved implementation plan against the existing codebase and domain model, then writes an ADR draft and a PRD draft into the Foreman feature directory. Self-answers every question it can from the code/docs and surfaces the rest as an "Open questions for reviewer" block…
Stack-agnostic test-driven development loop for a single Foreman issue. Implements one vertical slice with strict red-green-refactor (one test at a time, never horizontal slicing) using the foreman-test wrapper, saves completion evidence, then emits a machine-readable FOREMAN-SUMMARY block Foreman parses.
A structured checklist for reviewing code changes or pull requests. It checks whether the change works, handles unusual inputs and failures, and has appropriate tests.
A guide for writing Git commit messages using Conventional Commits, a shared format that labels changes such as features, fixes, tests, documentation, and maintenance.
Use when the task is to unpack a local reference repository into a Chinese structural topic page, update site navigation, stamp dates, and leave behind a reusable deconstruction note for the repo.
A workflow for generating a Zhihu article in the style of a specified Chinese deconstruction topic page. Zhihu is a Chinese question-and-answer and publishing platform.
Use when the task is to publish a Zhihu article from Markdown using the local browser-automation pipeline in this repo. Covers the text-only publishing chain, the multimodal chain that uploads Markdown images into the Zhihu editor, cookie-based login checks, and choosing between the stable text script and the richer…
Design and review autonomous or semi-autonomous agent loops — systems where an agent prompts itself, runs on a schedule or event, and iterates toward a goal without a human at the keyboard. Use this whenever the user wants to build, design, harden, or audit any kind of self-running agent, agentic workflow, control…
Verification harness for any AI agent skill. Use with any other skills; before marking a task done, run verify-task. On failure, record a correction learning. Ensures lint, tests, drift, and intent checks pass regardless of which skill generated the code.
A design workbench for turning a vague task into a controlled, repeatable Agent Loop. An Agent Loop is a task process with defined steps, checks, stopping points, and recovery actions.
High-fidelity UI visual replication workflow for turning a screenshot, image, Figma export, or existing static demo into a matching frontend implementation. Use when the user asks to复刻UI视觉稿,照着截图做页面, compare a rendered page with a target image, create a static visual demo first, or run multi-round screenshot-based…
Per-pass discipline for an active seeks loop. Drive state ONLY through bin/seeks.mjs (which self-resolves .seeks via git). Never hand-write status.json.
The autonomic executive of an agent — a self-firing loop that wakes on a tick, pulls the other organs into one workspace, decides what needs attention now, acts or defers, then sets its own next wake frequency and sleeps. Turns a pile of triggered reflexes into a continuous self that persists and acts between human…
Interactive bilingual course skill for learning loop engineering through Loopath. Use when a user wants to start, continue, install, teach, study, verify, or be quizzed on the Loopath course; when they ask for an agent-guided course on coding-agent loops, harness design, AGENTS.md, action schemas, tool use, policy…
This skill should be used when the user invokes "/supervise-loop", or wants an autonomous supervisor/worker iteration loop — phrased as "supervise a loop", "delegate this and review until it's perfect", "iterate until done without asking me", "evaluator-optimizer loop", "critic loop", "boss agent that supervises a…