Ce Plan logo

Ce Plan

OrganizationPopular
EveryInc
ce-plan

Create structured plans for multi-step work, including software and non-software tasks. Use when asked to plan, break down implementation, plan from requirements, or deepen an existing plan; prefer ce-brainstorm for exploratory framing.

Overview

PublisherEveryInc
Repositorycompound-engineering-plugin
Skill namece-plan
Stars
25.1K
Forks
2.1K
Bundled files
37
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.

  • 37 bundled files

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

  • Open source

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

Installation

Install the Ce Plan 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.
  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/EveryInc/compound-engineering-plugin.git /tmp/compound-engineering-plugin
mkdir -p .claude/skills
cp -r /tmp/compound-engineering-plugin/skills/ce-plan .claude/skills/ce-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ce Plan 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 Ce Plan 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 Ce Plan 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.

Create Technical Plan

The current year is 2026.

Outcome: a plan for carrying out and checking the agreed work while preserving its outcome and constraints. Resolve technical choices from evidence; leave adequate instructions unchanged. ce-brainstorm defines WHAT, ce-plan plans HOW, and ce-work executes. A prior brainstorm is optional.

An explicit invocation always produces a plan. Never classify a direct invocation as "not a planning task" and route out. It may select any output contract below, and the smallest valid plan is a few sentences in chat.

Research, decide, and write the plan — never implement. Do not write production code, run tests, or learn from execution-time results. Directional pseudo-code and grammar sketches may communicate design; changing code to see what happens belongs in ce-work.

Mandatory Completion Contract

A run is complete when its output contract's done condition is met. Every normal interactive branch that produces a plan artifact or checkpoint is incomplete until the user has been asked what to do next. A request that already authorizes the next action is that answer. For a Durable software implementation-plan run that continues past the resume check, that means the Phase 5.4 menu has been presented and the selected action has actually fired. For Direct, the change stated and the handoff offered; for a Chat brief, the brief and its one-line save-or-ce-work offer in chat. Neither presents the Phase 5.4 menu. Non-software plans and approach-level plans end with the handoff their reference workflow defines. A run that only answers a question may end after the answer unless its reference requires a save or share step.

Writing the file, checking confidence, and running or explicitly skipping ce-doc-review are intermediate milestones. In pipeline mode, the run is complete only when the plan, the confidence check, and the non-interactive document-review state have been returned to the caller, which decides what happens next.

Interaction Method

Ask one question at a time through the host's blocking question tool already in the current tool list. Match by capability; never probe a user-facing tool to discover it. If none is listed or a real question call errors, render numbered choices in chat; never silently skip a required question. If no feature description was supplied, ask what to plan and wait.

Output Contract

Decide which output contract applies at the start of scoping (Phase 0.6), before choosing depth and before the scoping synthesis. It applies only when no resume route (Phase 0.1) fired and the source check (Phase 0.2) found no upstream artifact. Ground it with bounded inline reads of what the request names, without dispatching a subagent. Select one:

  • Direct — the work can be stated, done, and verified in one pass with no decision the user would weigh. State the change in a few sentences and offer the handoff to ce-work or the user; execution starts only with implementation authority, as references/output-contracts.md defines.
  • Chat brief — bounded work with at most one decision the user would weigh and no risk surface. Deliver it in chat and stop.
  • Durable — everything else. Continue the workflow below.

references/output-contracts.md defines Direct and Chat brief; read it when either is selected. When the tier is still uncertain after those reads, take the heavier one. If a read surfaces a decision the user would weigh, a risk surface, or multi-pass verification, move to the heavier tier before emitting anything. Durable regardless of size: a run with no synchronous user to act on chat this turn (pipeline, headless, goal- or scheduler-driven), a request whose wording asks for a plan, a plan file, or an output format, a request that continues an existing plan's item, and a risk surface — authentication, payments, migrations, external contracts.

Workflow

Phases run in order unless a reference routes out or short-circuits. Read a phase's required reference in full when you enter that phase; a read made before that phase does not satisfy it, and a reference named for the final steps is read again at its step even when already in context. If a required reference cannot be read, stop before the action it governs and report the blocker and recovery path; never reconstruct the missing rules from memory. In pipeline mode, every required-reference failure returns status: blocked, phase, blocker, and recovery_path; include artifact_path and preserve the artifact when one exists. Report blocked even when an artifact exists.

Phase 0: Output, Resume, and Scope

  1. Output first. Read references/output-mode.md before interpreting any phase. It defines token parsing, output and confirmation precedence, renderer selection, artifact location, and when a repository may be resolved.
  2. Resume, deepen, approach, and domain. Read references/resume.md before acting. It defines resuming an existing plan, enriching a requirements-only plan, deepening, approach-level planning, and the software/non-software split. Follow any terminal route it selects; otherwise continue.
  3. Source and scope. Read references/intake.md before Phase 0.2 and follow it through Phase 0.7. It defines finding and preserving the upstream artifact, routing out to bootstrap work, blocking questions, depth, named resources, and the scoping synthesis; the Output Contract decision above happens inside it. Do not pass a decision point that has not resolved.

Phases 1-4: Research and Compose

  1. Read references/research.md before gathering context. It defines local and external research, consolidation, depth reclassification, flow analysis, and the Bake-off gate.
  2. Read references/structure.md before resolving questions or structuring the plan. It defines settled-decision handling, stable U-IDs, technical design, depth, and planning boundaries.
  3. Compose from references/plan-sections.md plus the format-rendering reference selected by output-mode.md.

Phase 5: Review, Write, Deepen, and Hand Off

  1. Read references/final-review.md before the pre-write review. It defines Phase 5.1 through 5.3.2: scoping synthesis, writing the file, unified-plan metadata, confidence mode, and deepening.
  2. Model elevation. Immediately before authoring, read references/reasoning-elevation.md, resolve the choice at this boundary, and follow it. Do not author until activation resolution has completed and any selected dispatch or transparent fallback has settled.
  3. In pipeline mode, evidence that invalidates a decision settled earlier in the session stops the write. Return the exact token settled-decision-invalidated, the decision, and the reason; do not resolve it silently.
  4. Write the plan before presenting options, then complete the confidence path final-review.md defines.

STOP. Read references/plan-handoff.md immediately before Phase 5.3.8 and 5.4 (document review and the handoff menu). Document review is mandatory for a Durable plan and the default is non-interactive (mode:non-interactive). In interactive software runs, ask exactly: "Plan ready at <absolute path to plan>. What would you like to do next?" Present its menu and wait. If the selection arrives after a user turn, reload references/plan-handoff.md before acting. Rendering the menu, receiving a selection, or announcing a route is not completion; execute the selected action.

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 Ce Plan AI skill do?

Create structured plans for multi-step work, including software and non-software tasks. Use when asked to plan, break down implementation, plan from requirements, or deepen an existing plan; prefer ce-brainstorm for exploratory framing.

Why use Ce Plan on TypingMind?

Because you install it once and use it with any model. Ce Plan 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 Ce Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/EveryInc/compound-engineering-plugin/tree/main/skills/ce-plan. 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 Ce Plan?

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 Ce Plan?

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

Is the Ce Plan AI skill free?

Yes. It is published on GitHub by EveryInc 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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