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Light Plan And Work

Community
zjp1997720
light-plan-and-work

Create a 3–7 step plan for a bounded task, execute immediately, verify, and hand it back. Use when the user explicitly requests a lightweight plan-and-work flow; do not use for open-ended brainstorming, discovery, high-risk migrations, multi-system architecture, or releases.

Overview

Publisherzjp1997720
Repositoryzhijian-skills
Skill namelight-plan-and-work
Stars
780
Forks
99
Bundled files
8
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zjp1997720 on GitHub. Read the source before you install it.

Installation

Install the Light Plan And Work AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/zjp1997720/zhijian-skills/tree/main/skills/light-plan-and-work
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zjp1997720/zhijian-skills.git /tmp/zhijian-skills
mkdir -p .claude/skills
cp -r /tmp/zhijian-skills/skills/light-plan-and-work .claude/skills/light-plan-and-work
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Light Plan And Work in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Light Plan And Work on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Light Plan And Work is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Light Plan and Work

Planning and doing are one continuous workflow.

Route before planning

Read the request, relevant project instructions, current files, and repository state. Choose one route:

  • Direct execution: one or two obvious actions. State a one-line brief and do them; do not manufacture a plan.
  • Light plan and work: the outcome is concrete, the scope is bounded, and 3–7 steps can complete and verify it.
  • Specialist Skill: a narrower installed Skill owns the artifact or domain. Use it, with this Skill only as the execution wrapper when useful.
  • Discovery or brainstorming: the user is still choosing the problem, audience, concept, story, or direction. Use a discovery Skill before planning.
  • Heavy workflow: use the project's full specification or plan/work system when consequence, ambiguity, or coordination cost is high.

Heavy conditions include destructive or sensitive operations, migrations, public API changes, cross-system architecture, releases, multiple owners, unresolved acceptance criteria, and explicit requests for a full specification or Compound Engineering. Read routing and verification when the route is unclear.

Execute

  1. Lock a compact execution brief: Goal, Deliverable, Boundary, and Acceptance.
  2. Resolve reversible choices yourself. Ask one blocking question only when the answer changes the outcome or requires new authority.
  3. Use the host plan tracker for 3–7 observable steps, with at most one step in progress. Each step must produce or verify something.
  4. Start after the plan is visible. Read before editing, preserve unrelated work, follow project instructions, and keep the plan aligned with evidence.
  5. If a heavy condition appears, preserve completed safe work, pause the affected mutation, explain the evidence, and switch to the heavier workflow.
  6. Verify in proportion to risk. Distinguish checks that directly cover the task from repository-wide or environment-wide gates.
  7. When a broad gate fails, classify the failure before acting. If read-only evidence shows it comes from pre-existing, unrelated work, preserve that work, run the strongest safe task-scoped checks, and record the blocked gate without claiming the repository is fully green. If the failure overlaps task files, causality is uncertain, or the gate is required for a release, treat it as a task blocker and fix, pause, or escalate.
  8. Hand back the result, artifacts, evidence, blocked gates, and residual risk.

Never revert, stash, edit, or stage unrelated work to make a broad verification command pass. Read routing and verification for the evidence and handoff contract.

Do not create a durable plan file by default. Create one only for an explicit request, future resumption, external handoff, multiple owners, or a lasting design decision, and follow the project's existing plan location.

Maintain trigger boundaries with evals/trigger_cases.json and output behavior with the baseline comparisons in evals/output/cases.jsonl.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Light Plan And Work AI skill do?

Create a 3–7 step plan for a bounded task, execute immediately, verify, and hand it back. Use when the user explicitly requests a lightweight plan-and-work flow; do not use for open-ended brainstorming, discovery, high-risk migrations, multi-system architecture, or releases.

Why use Light Plan And Work on TypingMind?

Because you install it once and use it with any model. Light Plan And Work is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Light Plan And Work in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjp1997720/zhijian-skills/tree/main/skills/light-plan-and-work. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Light Plan And Work?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Light Plan And Work?

As many as you like. As long as a model supports skills, you can use Light Plan And Work with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Light Plan And Work AI skill free?

Yes. It is published on GitHub by zjp1997720 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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