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Milestoneplan

Community
richkuo
milestoneplan

Use when the user wants a milestone's execution plan shown as a table — "milestoneplan v1", "/milestoneplan", "show the plan for v1". Read-only - reads every issue in the milestone and renders one table of issue number, description, complexity, dependencies, validate/build model and effort, plan, plan effort, and first-review trigger. Never edits an issue and never launches a run. Stage 6 of the new-app-pipeline.

Overview

Publisherrichkuo
Repositoryrk-skills
Skill namemilestoneplan
Stars
50
Forks
8
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Milestoneplan 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/richkuo/rk-skills/tree/main/skills/milestoneplan
  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/richkuo/rk-skills.git /tmp/rk-skills
mkdir -p .claude/skills
cp -r /tmp/rk-skills/skills/milestoneplan .claude/skills/milestoneplan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Milestoneplan 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 Milestoneplan 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 Milestoneplan 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.

milestoneplan

Show a milestone's execution plan as one table. This skill never writes: no issue edits, comments, PRs, or Workflow runs. Fixes belong to execution-plan-review; the run belongs to milestone-workflow.

Input

A milestone title (v1, v1-Desktop-core-call-loop), matched loosely on prefix, and an optional skip list: issue numbers the user plans to pass to milestone-workflow as skipValidate (or "all"). Existing titles with spaces still match; quote them in every gh call and in any milestone: filter link, and when you name a milestone filter to the user, quote a title that has spaces. With no input, or when two titles match, list the open milestones with open/closed counts and ask which.

Steps

1. Read the milestone

gh api "repos/{owner}/{repo}/milestones?state=all&per_page=100" --paginate --jq '.[] | "\(.title) [\(.state)] — open:\(.open_issues) closed:\(.closed_issues)"'
gh issue list --milestone "<title>" --state all --limit 500 --json number,title,state,body

state=all and --paginate with per_page=100 are required. If the issue count equals --limit, re-fetch at a higher limit until a fetch returns strictly below its own limit. Strip \r from bodies, then parse the [C<score>] title prefix and the ## Execution block: Depends on, Runs after, build model, effort, plan first: (also read the legacy fableplan first:), PR review:, and the optional Validate model:, Validate effort:, Plan model:, and Plan effort: lines.

2. Render the table

Output is exactly one pipe-delimited markdown table, one row per issue ordered by number, capped at these 8 columns:

#DescriptionCDeps/AfterValidateBuildPlanReview
  • Description — the title with the [C<score>] prefix stripped, truncated to ~30 characters.
  • C — the score from the title prefix.
  • Deps/After — <depends> / <after>, issue numbers without #, none rendered as — (e.g. 12, 13 / —); never infer edges from prose. When every Runs after is none, drop the / — suffix and say so in the note.
  • Validate — <model> · <effort>. The model comes from the score band unless a Validate model: line stamps Fable 5.1, Opus 5.5, or a Codex CLI harness; the effort is the band default unless a Validate effort: line stamps one. A Codex CLI validate renders like a CLI build, e.g. Astra · low (Codex CLI, gpt-6-astra); a Cursor CLI validate stamp renders blocked (validate runs only on the Codex CLI). Band defaults: Opus 5.5 · medium at [C0]–[C24], Opus 5.5 · high at [C25] and above (validate-issue step 6 is the authority; a missing prefix routes as Opus high). A stamped model or tier renders as the effective value plus (stamped), e.g. Fable 5.1 · low (stamped); the clamp follows the effective model and validate-issue step 6, so the pipeline clamps an Opus validate at low to Opus 5.5 · high (stamped low → high: Fable-only tier), runs an Opus validate at medium, high, or xhigh as stamped or as the band default, and applies no clamp to a Fable validate at any tier. With a skip list, a listed issue renders skipped (run arg) when no open in-milestone predecessor (Depends on or Runs after), missing [C..] prefix, or missing Execution block predicts a fallback; otherwise it keeps the route with (listed; validates: <reason>).
  • Build — the stamped <model> · <effort>, e.g. Opus 5.5 · high. An external harness renders as <Name> · <effort> (<harness>), e.g. Luna · max (Codex CLI) or Grok · high (Cursor CLI, cursor-grok-4.6-high) when the stamp carries a model id. max is Codex CLI-only, so a Cursor row stamped max renders the clamp the pipeline applies, e.g. Grok · xhigh (Cursor CLI, stamped max → xhigh). A Claude build runs only at high, so a Claude row stamped any other tier renders the clamp, e.g. Opus 5.5 · high (stamped xhigh → high: Claude builds run at high only).
  • Plan — Yes · <model> · <effort> when plan first: is Yes: the model is the stamped Plan model: with (stamped), else Opus 5.5; the effort is the stamped Plan effort: tier with (stamped), else the default: xhigh on Opus 5.5 when the score is 85 or higher (or the title has no score) and high below 85. A Fable plan always renders high; a Fable plan stamped another tier renders high (stamped <tier> → high: a Fable plan runs only at high). An Opus plan stamped low renders the clamp the pipeline applies, high (stamped low → high: Fable-only tier). Plain No when stamped No; a Plan model: or Plan effort: line on a No issue renders No · <stamp> (inert — no plan stage runs).
  • Review — the first-review trigger from the validate-issue step 6 first-review table (a missing prefix takes its heaviest row), unless PR review: stamps an explicit @claude <model> review effort:<tier> trigger. Render a stamped bare @claude review effort:<tier> as @claude opus review effort:<tier>; a stamped bare @claude review with no tier, and a stamped @claude opus review with no tier, render as @claude review (stamped); a line that names the standard @claude trigger in prose takes the band. Render a stamped haiku as @claude sonnet review. A stamp that matches no admitted row of fix-pr-review-loop step 1 renders as the band trigger with (ignored stamp: <stamp>). Append a parenthetical only for a real caveat (e.g. may close with no PR).

Every absent field renders missing, never blank or a guessed default. An issue with no ## Execution block is missing across the Execution-derived cells, with a note line that the pipeline builds it from the validated score band's defaults (no prefix routes as band 3).

After the table, print one note line covering: the Validate factoring above (validate-issue step 6 is the authority); rows whose stamped Validate effort or Plan effort was clamped; a run started with keepStamps: true keeps every stamp and skips the rescore raise below; with a skip list, that skipped (run arg) is a prediction: the run's skip-check still checks the evidence, the edit history, and the base branch at run time, and validates the issue normally when any check fails; rows built on an external CLI harness (the pipeline drives them through cli-dispatch under an Opus driver, and a rescore keeps the harness); rows whose stamped Build model or Effort diverges from the band default, naming the band value (informational: when validation confirms a higher score at run time, the pipeline raises each line below the new band default, keeps every stamp at or above it (a Fable 5.1 build or a CLI harness keeps model and effort) per validate-issue/issue-editing.md, and the orchestrating session restamps those merged values); and anything uniform that was dropped.

Print nothing else: no verdict, findings, wave plan, or cost projection.

3. Hand off

After the table, offer in one line each only the actions that apply, and launch neither unprompted:

  • Stamps missing or wrong → execution-plan-review (it owns Execution-block edits).
  • Ready to run → milestone-workflow (it presents its own run plan before dispatching).

Failure modes

SituationDo this
Milestone has no issuesSay so; there is nothing to tabulate
Milestone is closedStill render

Frequently asked questions

What does the Milestoneplan AI skill do?

Use when the user wants a milestone's execution plan shown as a table — "milestoneplan v1", "/milestoneplan", "show the plan for v1". Read-only - reads every issue in the milestone and renders one table of issue number, description, complexity, dependencies, validate/build model and effort, plan, plan effort, and first-review trigger. Never edits an issue and never launches a run. Stage 6 of the new-app-pipeline.

Why use Milestoneplan on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/richkuo/rk-skills/tree/main/skills/milestoneplan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Milestoneplan?

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 Milestoneplan?

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

Is the Milestoneplan AI skill free?

Yes. It is published on GitHub by richkuo 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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