Official agent skill

Todos

by JetBrains in JetBrains/thinkrail

A skill your agent uses when the user asks for a shared plan, a task needs at least three substantive execution steps, or a loose TODO is pending.

OfficialApache-2.0Auto-check passedDevelopment

Install Todos

skills CLI
$ npx skills add JetBrains/thinkrail --skill todos -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install JetBrains/thinkrail todos --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/JetBrains/thinkrail.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/pi-todos/skills/todos .claude/skills/todos && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
todos
GitHub stars
513
Token cost
~3.2k tokens
SKILL.md length
2,035 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when the user asks for a shared plan, a task needs at least three substantive execution steps, or a loose TODO is pending.

  • Works in 4 steps: Publish a useful plan, not a speculative… → Work tasks strictly in order, one step… → A qualifying new ask mid-session gets a… → …
  • The user asks for a shared plan
  • SKILL.md covers What it is, Granularity, Working with it and Completion summaries (the…, plus 2 more sections
  • Calls git and bun

What it does

Todos is an agent skill from JetBrains/thinkrail, published by the product's own GitHub organization. Use when the user asks for a shared plan, a task needs at least three substantive execution steps, or a loose TODO is pending. Without an explicit plan request, not for one-shot answers or checks, or one- to two-step work that is not already in the list.

Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. The repository describes itself as: Vibe code with pi in a lightweight, real IDE that customises itself around the way you work — The Vibe You Need. The licence is Apache-2.0.

When your agent uses it

  • The user asks for a shared plan
  • A task needs at least three substantive execution steps
  • A loose TODO is pending

Example prompts

  • “/todos”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Publish a useful plan, not a speculative one. Once the task is understood enough to identify
  2. Work tasks strictly in order, one step at a time
  3. A qualifying new ask mid-session gets a new group (todo_add with group:, one per step, or
  4. Reconcile before completion. Read todo_list once more before the final handoff. If open

What it can do on your machine

Read from SKILL.md and the folder at commit 68bb837. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • bun

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Todos loads about 3.2k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 2,035 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~3.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from JetBrains/thinkrail at commit 68bb837, republished under its Apache-2.0 licence (© JetBrains). 2,035 words, ~3,245 tokens.

Download SKILL.mdSave it as .claude/skills/todos/SKILL.md (or your agent's skills folder).
name
todos
description
Use when the user asks for a shared plan, a task needs at least three substantive execution steps, or a loose TODO is pending. Without an explicit plan request, not for one-shot answers or checks, or one- to two-step work that is not already in the list.

Chat TODO plan

What it is

  • A plan scoped to this chat — your tasks for the conversation. Shown to the user in the Todo panel; lives with the session (not committed to the repo).
  • Group = task, item = step. One user ask = one group; its title is the outcome ("Fix login redirect"), not the process. The steps inside are the items — each has a title, a status (pending → in_progress → done), and an optional note. The note is agent-facing working detail — the human's default plan view shows titles + status and keeps notes behind a disclosure — so it's where your own tracking, reminders, and the done-criterion live (e.g. "login e2e green"), never a place the user must read to follow along. A task's own status is never stored — it derives from its steps.
  • Loose items are the shared raw-input queue — and they sit at the END of the plan. Both sides write there: the user adds from the UI, and you may drop an unprocessed note with todo_add (no group, no after). Loose is pre-work — raw kernels and half-formed asks, never a step you are about to execute. todo_list renders them last, after every group, on purpose: an item added mid-task queues after your current work. So finish (or resume) the task you're on before you pick up a loose item — don't jump to a freshly-added item and abandon a step you had in progress.
  • Promote a loose item when you take it into work — never progress the raw text in place. Author a group with an outcome title and its decomposed steps (todo_add with group:, one call per step), flip its first step to in_progress, then todo_remove the raw loose item. Size doesn't matter: a pending loose item is already in the plan, so even a 1–2-step one becomes a small group. Don't rewrite or drop a loose item for any other reason.
  • It is shared and live: you maintain it, and the user edits it while you work — adding tasks, removing ones they've dropped. The stored list is the source of truth; what you remember is only a snapshot. Re-read it (todo_list) to stay in sync, don't trust your memory of it.
  • It is the user's status window — how they follow what's happening at a glance, without reading the chat. Short, concrete step titles; statuses always current.

Granularity

Size of the askShape in the plan
1–2 execution steps, including a one-shot answer, check, or editno list unless the user asks for one
3–7 substantive stepsone group
more than ~10 stepsthose are tasks, not steps — split into several groups

Steps are verifiable and ≈ commit-sized: "easy to check off as you go", not "phase 1".

A step is a substantive, human-meaningful outcome — not your bookkeeping. The plan is the user's status window, so every step must be something the user cares to see done. Process/meta chatter that only keeps you oriented is not a step: "make a plan", "read the files", "think about the approach", "review my changes" — don't mint items for these. Keep the plan to the real, checkable outcomes; put any working memory you need in the step's note (agent-facing), not as its own item.

Each field answers one question, in one shape — don't let them blur: the title is what the step does (imperative, about the change/outcome, not the process); the note is your private working detail; the summary is what changed and why (it must NOT restate the title — add the decision or constraint the title can't show); the verification is how it was proven, in the normalized shape check → result (or the honest "not verified").

Working with it

  1. Publish a useful plan, not a speculative one. Once the task is understood enough to identify at least three substantive execution steps, or to satisfy the user's explicit request for a plan, use todo_write with one group per task. Clarifying questions may come first when their answers change the plan. Publish the plan before execution, then refine it only when the work materially changes.
  2. Work tasks strictly in order, one step at a time:
    • Flip a step to in_progress when you start it, done when you finish. Starting a new step auto-returns any other in_progress step to pending — so finish (mark done) before moving on, or the previous step visibly falls back to open.
    • Don't start the next group while the current one has open steps. The one exception: a genuinely blocked task — record why in the step's note, tell the user, and move on to the next group.
    • Re-read with todo_list before choosing each next item, after user input, and before completion. New loose items are appended at the end — take them up (promoted) after the in-progress step. If an item you planned is gone, the user dropped it: skip it and do not re-add it.
    • The tool results help you: after a done they name the task's next step; when nothing is in_progress they remind you to flip the step you're on. Act on those nudges.
  3. A qualifying new ask mid-session gets a new group (todo_add with group:, one per step, or several calls for several steps). An ordinary 1–2-step chat ask gets that group only when the user explicitly requested a plan; otherwise finish the in-progress task, then handle it directly. When that short ask is already a pending loose item, promote it into its own group instead. Never mix a new ask's steps into the current group. A step discovered inside the current task slots in with todo_add after: <current step id>; an anchor on a loose item is rejected. Do not rebuild the plan with todo_write for that.
  4. Reconcile before completion. Read todo_list once more before the final handoff. If open steps remain, either do them or clearly say what is left and why.
Show full SKILL.md (1,068 more words)Show less

Completion summaries (the review trail)

The user reviews your work from the summary + the diff. The diff shows what; the summary must carry everything the diff cannot show — intent, decisions, and honesty about verification. Write it for the reviewer, not for yourself.

  • A step that changed code gets a summary AND a verification when you mark it done — pass both on the same todo_update call that sets status: done. summary is Markdown, written structured (a short lead sentence + a bullet list when it has parts), covering what changed and why — especially decisions that are NOT visible in the diff (a rejected alternative, a constraint you worked around) — not one run-on paragraph. Research/analysis/verification-only steps that produced no code changes need neither.
  • Verification is its own field, named, never claimed. Pass verification as one or more checks in the normalized shape check → result — the exact check you ran and its outcome ("bun test src/todos → 34 pass", "typecheck → green") — or the honest "not verified". It renders as Markdown on the plan page, so when you ran several checks write them as a bullet list (one - check → result per line), not one run-on line crammed with ; separators; a single check stays one line. The UI shows it as a status badge on the review card, so a vague or missing line is visible at a glance. Never write "tests pass" for tests you didn't run. And never make a check pass by weakening it — if you changed, skipped, or deleted a test as part of the step, the summary must say so explicitly: a reviewer who finds it themselves stops trusting every other summary.
  • A step that changed code also gets a commitSubject. The host commits that step's delta on the user's branch and uses this line as the commit subject verbatim, so write it as a commit message, not a plan step: one imperative line about the change, and in this repository's existing style — run git log --oneline -20 and match what you see (Conventional Commits ⇒ type(scope): subject; a prose-subject repo ⇒ prose). It must be pushable as-is: no todo: prefix, no item ids, no tool attribution. Omit it and the host falls back to the step title, which reads as a plan step in git log — so don't rely on that.
  • Disclose scope drift. Anything you touched beyond the step's own ask — an adjacent refactor, a drive-by rename, a new dependency — goes in the summary ("also touched X because Y"). The signature failure of agent changes is solving the asked problem plus neighbors; undisclosed extras are what reviewers distrust most.
  • Point at the risk. When one part of the change deserves the reviewer's closest look — a contract/API change, tricky concurrency, an area you're least sure of — name it in one clause ("closest look: the rollback path").
  • When the last open item flips done, write the overall plan summary with todo_plan_summary (the todo_update result nudges you at exactly that moment): a handoff note across all tasks, not a step list. It is cumulative — it covers EVERYTHING done across the whole plan, not the last step alone. When the plan gained new work and finished again, a summary from the earlier completion is still there (the done-flip nudge surfaces it): extend that text — carry every earlier point forward and add the new work — never rewrite it down to only the most recent step. Include what was verified end-to-end and anything left undone or deferred — an omission here reads as "nothing left", so say it if something is. The plan view renders this as Markdown, so write it structured, not one dense paragraph: a lead sentence, then a short bulleted breakdown (e.g. what shipped / what was verified / what's left), using **bold**, lists, and code where they aid scanning. The per-item summary renders as Markdown too — a tight sentence or two, bulleted only when it genuinely has parts. Keep both scannable, never a wall of text.
  • Fix requests re-open the SAME item. When the user asks for a fix on a reviewed step (you'll receive the original step, its summary, its change set, and their feedback), flip that exact item (by id) back to in_progress, make the fix, and mark it done with a fresh summary and a fresh commitSubject describing the fix — the fix, not the original work (the user re-reviews only the new delta, and the revision lands as its own commit). Re-opening clears the previous values, so supply both again. Never open a new item for a fix — the revision must attach to the step it revises.

Invariants

  • Done stays. Completing a step = todo_update → done. Never delete a done item — it's the user's history. todo_remove is only for when the user explicitly asks to drop something, or for the raw loose item you just promoted into a group.
  • Edit surgically. After the first plan, prefer todo_update / todo_add (they touch one item) for a single change — cheaper than restating the whole plan. todo_write reconciles (it's not a destructive replace): it matches your written steps to the existing ones by group + step title and keeps their status/summary/id, so a re-plan is safe and lossless — reach for it when you're genuinely restructuring, not to nudge one item. Status advances only via todo_update; a status you put in todo_write on a step that already exists is ignored.
  • Respect the user's edits. The list is shared; treat their additions as new requests and their removals as cancellations. Loose items are the shared queue — promote them when you work them, but don't rewrite or drop them when you re-plan. (todo_write never touches loose items and keeps done items; but keep your steps' titles stable across a re-plan — a reworded title reads as a new step, so the old one's progress won't carry.)

Tools

  • todo_list — read the current plan (the source of truth; re-read to catch the user's edits).
  • todo_add — add one step (into a group, after an existing step, or loose when both are omitted; leaves the rest untouched).
  • todo_update — progress one step (in_progress on start, done when finished — with a summary when the step changed code; done stays).
  • todo_remove — delete one item (only when the user asks, or the raw loose item you just promoted).
  • todo_write — lay out or reconcile the plan (groups only — one per task; matches steps by title and keeps their progress; prefer todo_add/todo_update for a single change).
  • todo_plan_summary — after the last item is done: a short overall summary of what the plan accomplished.

© JetBrains, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in packages/pi-todos/skills/todos of JetBrains/thinkrail.

Open the folder on GitHubat commit 68bb837

Compare with similar skills

Todos next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Todos compared with similar skills
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Todos this skillJetBrains/thinkrail513—~3.2kAutomated safety check: PassApache-2.0
Vercel Composition Patternssupabase/supabase111k58 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Todos

What does Todos do?

A skill your agent uses when the user asks for a shared plan, a task needs at least three substantive execution steps, or a loose TODO is pending. Todos is an agent skill from JetBrains/thinkrail, published by the product's own GitHub organization. Use when the user asks for a shared plan, a task needs at least three substantive execution steps, or a loose TODO is pending.

When should I use Todos?

Todos fits situations like: the user asks for a shared plan; A task needs at least three substantive execution steps; A loose TODO is pending.

How do I install Todos in Claude Code?

Run `npx skills add JetBrains/thinkrail --skill todos -a claude-code`. Or copy the skill folder (packages/pi-todos/skills/todos in JetBrains/thinkrail) into .claude/skills/todos in your project. Claude Code loads it when a task matches its description.

How do I install Todos in Codex?

Run `npx skills add JetBrains/thinkrail --skill todos -a codex`. Or copy the skill folder (packages/pi-todos/skills/todos in JetBrains/thinkrail) into .agents/skills/todos in your project. Codex loads it when a task matches its description.

Can I use Todos in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add JetBrains/thinkrail --skill todos -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/todos, .gemini/skills/todos, .github/skills/todos and .opencode/skills/todos in your project.

What does Todos need to run?

Going by SKILL.md and its folder, Todos needs the command-line tools its instructions call (git and bun).

Does Todos access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Todos safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Todos use?

Todos is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Todos use?

About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Todos?

Skills that share tags, products or a category with Todos: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Todos?

JetBrains (a GitHub organization, an official publisher) maintains it in JetBrains/thinkrail, which has 513 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 9, 2026.

Source: JetBrains/thinkrail on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.