Skip to content
Agentmart
Submit a tool

planning

Plan multi-step or multi-session work with acceptance criteria, coherent units, verification and resumable checkpoints.

Skill by youlianvr

IndexedCC-BY-4.0★ 14
Write a review

Chalk Labs

Need help deploying planning?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/youlianvr-planning

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Plan multi-step or multi-session work with acceptance criteria, coherent units, verification and resumable checkpoints. Discuss consequential goal/product/ architecture forks; update ordinary implementation details without a permission ceremony. Use for explicit planning or work too large for the everyday cycle.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Node.js package

Network hosts it talks to 3

  • codeload.github.com · found in install command
  • github.com · found in code
  • primeradiant.com · found in code

Files it touches

  • ~/.claude/skills/planning
  • /tmp/brainstorm

What's inside

Skill name
planning
Description
Plan multi-step or multi-session work with acceptance criteria, coherent units, verification and resumable checkpoints. Discuss consequential goal/product/ architecture forks; update ordinary implementation details without a permission ceremony. Use for explicit planning or work too large for the everyday cycle.
License
CC-BY-4.0
Instructions
38 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (14)

  • SKILL.md
  • SKILL.md · parts/brainstorming/
  • frame-template.html · parts/brainstorming/scripts/
  • helper.js · parts/brainstorming/scripts/
  • server.cjs · parts/brainstorming/scripts/
  • start-server.sh · parts/brainstorming/scripts/
  • stop-server.sh · parts/brainstorming/scripts/
  • spec-document-reviewer-prompt.md · parts/brainstorming/
  • visual-companion.md · parts/brainstorming/
  • LICENSE.txt · parts/define-goal/
  • SKILL.md · parts/define-goal/
  • openai.yaml · parts/define-goal/agents/
  • SKILL.md · parts/writing-plans/
  • plan-document-reviewer-prompt.md · parts/writing-plans/

SKILL.md (first lines)

# Planning — enough structure to finish the work

> Home branch in Memora: `root/skill/planning`. The live contract is `AGENTS.md`.

## Choosing a part

Planning itself runs inline on this page; the parts cover the two ends.

| Situation | Part |
|---|---|
| The outcome itself is still vague | `parts/define-goal/` |
| Intent is fuzzy and wants exploring before a plan | `parts/brainstorming/` |
| Decomposition and handoff templates wanted | `parts/writing-plans/` |

## Rules

- **Plan of record is `write_todos` plus one Memora node.** A plan file appears
  only when the owner asks for one: no `PLAN.md` by default, and
  `projects/<name>/docs/PLAN.md` is not a required source. Memora is the source.
- **Questions only on forks with consequences**: goal, architecture, cost, data
  risk, external effects. Newly discovered files, technical details and root
  causes already understood are updates to the plan, not owner decisions.
- **Checkpoint = a Memora node + 1–3 lines in chat**: what is done, what was
  checked, which unit comes next.
- **After a compaction**, read the plan node and `write_todos` first, then
  resume — never re-derive work that is already recorded.
- Understand the outcome, the existing base and the exact delivery constraints
  before proposing anything; show the approach with real alternatives where they
  matter, and never manufacture options for routine commands.
- Finish coherent units with evidence and exit conditions; an unresolved branch
  stays labeled in the node rather than silently decided later.

## Related

`grill-me` for the full interrogation of a plan, `brainstorming`,
`relevance-scan`, `sessions`, `dev`.

From youlianvr/oper-share, CC-BY-4.0.

More from youlianvr/oper-share

Signals

Stars
14
Forks
4
Open issues
0
Last commit (this folder)
Oct 20, 2026 (18 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
CC-BY-4.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from youlianvr

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get planning running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying planning?

CallGet help
Cite this page

planning skill. Agent Mart. https://agentmart.dev/skills/youlianvr-planning (last updated 2026-10-24)