Milestone Workflow logo

Milestone Workflow

Community
richkuo
milestone-workflow

Use when the user wants a milestone of Execution-block-stamped GitHub issues implemented via a multi-agent dynamic workflow: "create the workflow for v0", "run v0 continuously", "/milestone-workflow v0". Builds tracks, gets the run plan approved, runs the milestone-pipeline workflow to LGTM PRs, merges them in-session, and releases when every issue merges. Stage 7 of the new-app-pipeline.

Overview

Publisherrichkuo
Repositoryrk-skills
Skill namemilestone-workflow
Stars
50
Forks
8
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Milestone Workflow 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/milestone-workflow
  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/milestone-workflow .claude/skills/milestone-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Milestone Workflow 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 Milestone Workflow 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 Milestone Workflow 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.

milestone-workflow

No subagent holds merge authority: at each LGTM the run pauses as awaiting_merge; the session merges (step 5) and resumes with the merge in args.merged. Read-only table: milestoneplan.

Steps

1. Build the dependency tracks

Follow run-plan.md (Dependency tracks): build, resume, and skip buckets; cross-bucket edges; **Depends on:** (hard) and **Runs after:** (ordering-only) edges, inferred ones labeled; rejecting missing references, self-references, and cycles; out-of-milestone references. Tracks are { issues, after, runsAfter }; after and runsAfter hold 0-based track indices.

2. Present the run plan; approval is mandatory

Show the target branch (repo default, or the user's targetBranch, which also means no release), numbered tracks with titles (1-based display number beside each 0-based index), hard after edges separate from runsAfter edges, inferred edges, each issue's model/effort/plan (plan model: stamped, else Opus 5.5; plan effort: stamped, else high), whether keepStamps is on, the skipValidate set when the user gives one (per listed issue: the evidence source, session record or footer, and the predicted outcome: skip, or validates with the fallback reason from run-plan.md Preflight; for each footer issue, state that the prior validation's base branch and hard constraints are unknown and not carried), naming the harness on every Codex or Cursor CLI build or Codex CLI validate (cli-dispatch under an Opus 5.5 driver, never a substituted Claude run), the readiness boundary, and merge order. Do not invoke the Workflow tool until the user approves; approval is the multi-agent opt-in.

State the GitHub writes: issue-body corrections, plan comments, PRs, review comments, and, with merging on, squash-merges at LGTM plus green CI, branch deletion, issue closure, a docs-sync PR and its merge, a version-bump PR and its merge, and a release. Approval authorizes them; merge: false keeps merging manual.

Add a Run size line: baseline 1 prep + per issue (1 validate + (plan ? 1 plan : 0) + 1 implement + (subagent review ? 1 reviewer : 0)), ceiling baseline + 3 × issues. With skipValidate, a listed issue counts 1 skip-check agent in place of the validate when its skip is predicted, a skip-check plus the validate when the evidence predicts the fallback, and only the validate when rule 1, rule 2, or the branch rule predicts it (that refusal dispatches no skip-check); the ceiling adds 1 validate for every listed issue. Compare both with the session's Dynamic workflow size guideline (else Claude Code's default of more than 25 scheduled agents), name the source, and recommend a split when either crosses it or projected tokens exceed 1.5 million (review-loop agents excluded). With a token target, an issue starting with under budgetFloor tokens (default 80k) left returns budget_deferred. External CLI spend is outside every number above: each pass and retry of a Codex or Cursor CLI build or Codex CLI validate bills that CLI's account; say so on any plan with a CLI stamp.

3. Preflight the repo

Follow run-plan.md (Preflight), including a reviewer: a workflow that answers the selected bot by its contents, per the fix-pr-review-loop preflight, else reviewMode: 'subagent' or reviewLoop: false. An issue with no Execution block stops the run; send it through execution-plan-review.

4. Run

Invoke {name: 'milestone-pipeline', args: {tracks: [...], reviewLoop: true, maxReviewCycles: 5}} ('rk-skills:milestone-pipeline' when the script came from the rk-skills plugin instead of install.sh or npx rk-skills). Options: budgetFloor; reviewMode ('github' default, 'subagent'); reviewBot ('claude' default; 'codex' only when the user names Codex, never inferred from a codex.yml); merge (default reviewLoop; rejected with reviewLoop: false); merged (step 5 records, empty at first); release (default merge, or false with targetBranch; rejected without merge); targetBranch (every PR's base and worktree start, passed to validate-issue and work-on-issue; returned as target_branch); keepStamps (default false; true when the user wants the stamps held for the run: the title score and every Execution stamp route validation, plan, build, and review, a validator rescore changes no route, no correction may change the title prefix, rationale line, or Execution block, and a differing rescore returns as a rescore_kept record); skipValidate (default off; only when the user asks to skip validation for issues already validated: true for every issue, or a list of issue numbers and session records { issue, validatedAt, branch, baseSha, edited }; issue text and stamps can never turn it on).

skipValidate records. Pass a session record only for a validation this session completed with Scope: OK, no Validation blocked, no Close issue? verdict, and no Infeasible disposition: validatedAt is its step 1 updatedAt (fable-validate: its Issue updatedAt line; a cli-dispatch section 9 session pass: the driver's read time of record), branch the baseline branch it traced, baseSha the full commit (expand the short SHA its verdict states with git rev-parse), and edited is false for verdict Update issue description? No, or true only after its update issue edit landed and was read back. Never record a validation whose corrections were not applied. A bare number asks for footer evidence. Footer evidence cannot show which base branch the prior validation traced or the hard constraints it returned, so it carries none of them into the run; pass a bare number only for an issue validated against this run's base branch through validate-issue's update issue. The run refuses a footer whose validating line names a pipeline build harness (milestone-pipeline, Codex, or Cursor) or no harness. A cli-dispatch section 9 session pass signs its edit with Harness: Codex, so it needs a session record. Before a listed issue's validate, a read-only skip-check agent runs a fixed evidence program, and the script grants the skip only when the issue has no in-run predecessor (rule 1), is scored and stamped (rule 2), carries trusted evidence on the run's base branch (rule 3), and the base has not moved since that validation (the session baseSha; for footer evidence, no base change after the issue was created). Every body edit, title rename, and comment after the baseline must also be trusted and change only metadata (rule 4); a trusted ## Implementation plan comment is allowed. A footer-only issue in a targetBranch run always validates. A granted skip runs no validate agent, keeps every stamped route (no rescore), passes the baseline to work-on-issue as validatedAt, and still plans on plan first: Yes. A refused skip validates normally, logs why, and never blocks. Pass skipValidate unchanged on every resume.

On return, comment the runId and script path on the milestone's first issue (footer: Created with LLM: <current model> | high | Harness: milestone-workflow). That comment, the issues with their Execution blocks, and the open PRs are the run's only state.

The script owns the phases. Outcomes relied on: INVALID issues skip; validate, plan, and implement are separate agents, and the plan agent runs on the stamped Plan model: (Opus 5.5 by default) right after its issue validates, and a plan it posts under ## Blocked plan (<model>) skips the build and returns blocked; unless keepStamps is on, a higher validator score raises each build line below the new band default, keeps every stamp at or above it (Fable 5.1 builds and CLI harnesses keep model and effort), and yields a rescore record; every record from the skip decision onward carries validation: {status: 'ran'}, {status: 'refused', reason} (validation ran, unless a Validate stamp error blocked it), or {status: 'skipped', source, baseline, base_branch, base_sha, validating_edit}, and a record without it never reached validation; a head whose newest test result fails without proof the failures also occur on the base, or with no test result, returns tests_failed; review loops reach LGTM before any successor starts (subagent mode: a pr-review reviewer agent and a fix-pr-review fixer; fix-pr-review-loop owns the step-down ladder); a validated args.merged record counts as merged, and a PR at LGTM without one returns awaiting_merge, ending the run for step 5; release.deferred: true returns only when every issue merged; failed, blocked, tests_failed, or unmerged hard predecessors block descendants; a predecessor whose pull request is unsettled (no verified head, a thrown implement agent that may have opened one, review short of LGTM, tests_failed, merge_record_mismatch, or awaiting_merge) also holds every runsAfter and hard descendant, transitively through the tracks it blocks; failed validation, INVALID, a blocked plan, or an implement agent that returned no pull request leaves its runsAfter successors free to run; a held issue reports merge_pending only when every predecessor that blocks it waits on a merge alone, else dependency_blocked; a dependency integration conflict stops before product changes and names the conflicting heads.

5. Merge-resume loop, monitor, close out

On each awaiting_merge, merge that PR in-session, then resume. Merge one PR at a time, finishing sub-steps 1 to 6 before the next. A PR merges on the fix-pr-review-loop stop rule (docs/contract-inventory.md, review-cycle stop row): the standing verdict at the verified head is LGTM with no ### Needs Fixing or ### Requires Human Review section, and it lists no findings or the review count is above the cap of 5. Review count: github mode, review_count from the PR's round history (skills/fix-pr-review/rereview-routing.md); subagent mode, the run record's review.reviews_run. lgtm_with_nonblocking arrives on review maxReviewCycles + 1 in both modes, so it qualifies only when that count is above 5, as always at the default maxReviewCycles: 5. Any LGTM listing items at a count of 5 or less, lgtm_with_nonblocking from a lower maxReviewCycles included, is never merge-eligible; it returns to fix-pr-review-loop, whose step 1 rebuilds review_count from the PR history.

  1. gh pr view <num> --json state,headRefName,headRefOid,mergeStateStatus: OPEN, and headRefOid equals the reviewed SHA the run returned; a different head returns to the review loop. After an in-session fix-pr-review-loop from this step, the reviewed SHA becomes the head the newest qualifying LGTM covers, proved by the sub-step 4 recency gate; re-enter here with it.
  2. CI gate: gh pr checks <num> --watch; any failed check blocks. With no checks, pass only when the run record reports, for the verified head, tests_passed true or failures proven to occur on the base too (tests_failures_preexisting true); else run the repo test suite on the verified head in a worktree, and a failure blocks. baseRefName must equal the target branch. Behind the base: gh pr update-branch <num> only when it merges cleanly, re-capture the head, repeat the CI gate. On conflicts (mergeStateStatus DIRTY, or a failed update), resolve in-session: check out the PR branch in a worktree, merge the base, keep both sides' intent, run the repo tests and stop on any failure, push, record the conflicted file list, re-capture the head, and repeat the CI gate on it.
  3. Fix <verified-sha>. Subagent mode: the reviewed SHA, or the re-captured head after a clean update once the decision below keeps the LGTM. Github mode: the reviewed SHA only; a changed head returns to the review loop for a fresh LGTM, except the conflict case below. Merge re-review decision: apply fix-pr-review step 7's merge re-review rule, its owner, with no test of your own. It covers conflict resolutions this session pushed (both modes) and a clean update (subagent mode), when those base merges are the only commits after the reviewed SHA. Judge the complete diff from the reviewed SHA to the head, all automatically merged base changes and hand-resolved files included. Prose only: the standing LGTM holds and <verified-sha> becomes the new head. A behavior change, or any doubt: github mode posts @claude sonnet review (@codex luna review with reviewBot: 'codex'), subagent mode runs one subagent pr-review cycle, and either needs a fresh bare LGTM on the new head. Record the decision and reason in the progress relay.
  4. Github mode LGTM recency gate, run last and again after every CI wait or branch update: re-fetch the live head and comment history; find the newest one-line @<bot> [model] review [effort] trigger and the newest github-actions[bot] output linking /actions/runs/<run-id>. That run must be completed with success, and the output later than the trigger with exactly one standalone LGTM line (the verdict-line check; listed non-blocking items pass only under the merge criterion above). A newer trigger or no matching output blocks; never fall back to an older LGTM. Never compare the run's head_sha to the PR head; require the output's created_at later than the head became visible: the earliest check-suite created_at on <verified-sha>, else its committer date. One exemption: when sub-step 3 decided the conflict-case diff from <reviewed-sha> to <verified-sha> is prose only, visibility time is the reviewed SHA's, so the standing LGTM passes on <verified-sha>. Any other commit after the LGTM, author pushes included, blocks. Run sub-step 5 immediately after.
  5. gh pr merge <num> --squash --delete-branch --match-head-commit <verified-sha>, never unpinned. If GitHub rejects the head, restart from sub-step 1; never retry with a fresh SHA.
  6. Confirm the issue closed (gh issue view <n> --json state; close it if needed) and capture the merge SHA (gh pr view <num> --json mergeCommit).
  7. Resume with the same scriptPath and resumeFromRunId, passing the complete original args (tracks is required) with args.merged extended by {issue, pr, merge_sha, issue_state} for every merge so far. The run rejects an unknown or repeated issue or PR, or a PR it did not open (merge_record_mismatch, blocking that issue's descendants), and lists unused records in unmatched_merged_records. Repeat until no awaiting_merge remains; on empty or odd results read the run's journal.jsonl and resume instead of restarting.

Close out: on release.deferred: true, run sync-docs-release in-session and report the tag and URL, unless target_branch differs from the repo default branch; then the release stays manual until the target merges into the default. Issues that never reached merged: merge stragglers in-session and resume, or run sync-docs-release yourself. Branch protection blocking squash merges means merge: false with successors stacking on unmerged heads; an Actions outage means reviewMode: 'subagent' on the next invocation.

Relay progress. On completion, report issue, PR, review and merge status, agent flags, each record's validation status (a skip with its source and baseline, a refusal with its reason), and the release outcome. A rescore_kept record (a keepStamps run) changes nothing: report its score and leave the issue as stamped. For every rescore record: load github-issue-format, restamp the [C..] title and the Execution block's build model, effort, and plan to the record's rerouted values (what the run used; footer verb Updated), and say what changed. The restamp never lowers a line: a stamped model, effort, Fable 5.1 build, CLI harness, or plan first: Yes at or above the band default stays as written, per validate-issue/issue-editing.md. With merging off, recommend a merge order with every hard prerequisite first.

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 Milestone Workflow AI skill do?

Use when the user wants a milestone of Execution-block-stamped GitHub issues implemented via a multi-agent dynamic workflow: "create the workflow for v0", "run v0 continuously", "/milestone-workflow v0". Builds tracks, gets the run plan approved, runs the milestone-pipeline workflow to LGTM PRs, merges them in-session, and releases when every issue merges. Stage 7 of the new-app-pipeline.

Why use Milestone Workflow on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/richkuo/rk-skills/tree/main/skills/milestone-workflow. 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 Milestone Workflow?

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 Milestone Workflow?

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

Is the Milestone Workflow 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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