Agent skill

Writing Plans

by Optima-CityU in Optima-CityU/LLM4AD_Next

Use before a multi-step document restructuring task to map the source, preserve important relationships, and decide whether child documents are justified.

BSD-3-ClauseAuto-check passedAgent Workflows

Install Writing Plans

skills CLI
$ npx skills add Optima-CityU/LLM4AD_Next --skill writing-plans -a claude-code

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

GitHub CLI
$ gh skill install Optima-CityU/LLM4AD_Next writing-plans --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/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docker/knowledge-parser/skills/writing-plans .claude/skills/writing-plans && 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
writing-plans
GitHub stars
574
Token cost
~262 tokens
SKILL.md length
122 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
BSD-3-Clause

At a glance

Use before a multi-step document restructuring task to map the source, preserve important relationships, and decide whether child documents are justified.

  • Works in 5 steps: Identify the document's purpose,… → Decide whether one coherent document is… → Map every important source section to… → …
  • Tasks that involve Planning
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Writing Plans is an agent skill from Optima-CityU/LLM4AD_Next. Use before a multi-step document restructuring task to map the source, preserve important relationships, and decide whether child documents are justified.

Its SKILL.md is about 260 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 Agent Workflows, covering Planning. The repository describes itself as: A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use. The licence is BSD-3-Clause.

When your agent uses it

  • Tasks that involve Planning

Example prompts

  • “/writing-plans”

Workflow steps

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

  1. Identify the document's purpose, audience, main claims, constraints, causal relationships, examples, and reusable guidance.
  2. Decide whether one coherent document is sufficient. Create child documents only for themes that can stand alone and are useful…
  3. Map every important source section to the planned output so information is not silently dropped.
  4. Preserve uncertainty and provenance. Never invent dates, facts, or conclusions.
  5. Review the planned structure for repetition and fragmentation before writing.

What it can do on your machine

Read from SKILL.md and the folder at commit e3d3f7b. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

Writing Plans loads about 262 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 122 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~262

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 Optima-CityU/LLM4AD_Next at commit e3d3f7b, republished under its BSD-3-Clause licence (© Optima-CityU). 122 words, ~262 tokens.

Download SKILL.mdSave it as .claude/skills/writing-plans/SKILL.md (or your agent's skills folder).
name
writing-plans
description
Use before a multi-step document restructuring task to map the source, preserve important relationships, and decide whether child documents are justified.

Writing Plans

Before changing files, make a concise internal plan based on the user's requested output and the complete source document.

  1. Identify the document's purpose, audience, main claims, constraints, causal relationships, examples, and reusable guidance.
  2. Decide whether one coherent document is sufficient. Create child documents only for themes that can stand alone and are useful independently.
  3. Map every important source section to the planned output so information is not silently dropped.
  4. Preserve uncertainty and provenance. Never invent dates, facts, or conclusions.
  5. Review the planned structure for repetition and fragmentation before writing.

The user's instructions override output-location conventions. If the user says not to create a plan file, keep the plan internal and write only the requested deliverables.

© Optima-CityU, BSD-3-Clause. 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 docker/knowledge-parser/skills/writing-plans of Optima-CityU/LLM4AD_Next.

Open the folder on GitHubat commit e3d3f7b

Compare with similar skills

Writing Plans 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.

Writing Plans compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Writing Plans this skillOptima-CityU/LLM4AD_Next574—~262Automated safety check: PassBSD-3-Clause
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills105k6 repos~3.8kAutomated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec72k1 repos~4.5kAutomated safety check: PassMIT
Writing Plansgeeksblabla/stateofdev.ma16358 repos~661Automated safety check: PassNone
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone

Similar skills

  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    297k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed
  • Interview Me

    addyosmani/agent-skills

    Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.

    105k GitHub starsUsed in 6 repos~3.8k tokens
    Agent WorkflowsAuto-check passed
  • OpenSpec Guided Onboarding

    Fission-AI/OpenSpec

    Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.

    72k GitHub starsUsed in 1 repo~4.5k tokens
    Agent WorkflowsAuto-check passed
  • Writing Plans

    geeksblabla/stateofdev.ma

    A skill your agent uses when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file…

    163 GitHub starsUsed in 58 repos~661 tokens
    Agent WorkflowsAuto-check passed
  • Subagent Driven Development

    Asvarox/allkaraoke

    A skill your agent uses when executing implementation plans with independent tasks in the current session

    261 GitHub starsUsed in 38 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Planning With Files

    jd-opensource/JoySafeter

    Implements Manus-style file-based planning for complex tasks.

    314 GitHub starsUsed in 19 repos~1.8k tokens
    Agent WorkflowsAuto-check: notes

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  • Document Knowledge Organizer

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    Organize one or more Markdown source documents into high-fidelity, editable knowledge blocks.

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  • Proposal Final Review

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    A skill your agent uses when assembling a completed staged Typst proposal and checking its evidence, logic, citations, structure, and export readiness.

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  • Proposal Foundation Feasibility

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    A skill your agent uses when documenting a proposal's research foundation, available conditions, team support, feasibility, and risk controls from author-supplied facts.

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  • Proposal Innovation Plan

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Categories

Questions about Writing Plans

What does Writing Plans do?

Use before a multi-step document restructuring task to map the source, preserve important relationships, and decide whether child documents are justified. Writing Plans is an agent skill from Optima-CityU/LLM4AD_Next. Use before a multi-step document restructuring task to map the source, preserve important relationships, and decide whether child documents are justified.

When should I use Writing Plans?

Writing Plans fits situations like: tasks that involve Planning.

How do I install Writing Plans in Claude Code?

Run `npx skills add Optima-CityU/LLM4AD_Next --skill writing-plans -a claude-code`. Or copy the skill folder (docker/knowledge-parser/skills/writing-plans in Optima-CityU/LLM4AD_Next) into .claude/skills/writing-plans in your project. Claude Code loads it when a task matches its description.

How do I install Writing Plans in Codex?

Run `npx skills add Optima-CityU/LLM4AD_Next --skill writing-plans -a codex`. Or copy the skill folder (docker/knowledge-parser/skills/writing-plans in Optima-CityU/LLM4AD_Next) into .agents/skills/writing-plans in your project. Codex loads it when a task matches its description.

Can I use Writing Plans 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 Optima-CityU/LLM4AD_Next --skill writing-plans -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/writing-plans, .gemini/skills/writing-plans, .github/skills/writing-plans and .opencode/skills/writing-plans in your project.

What does Writing Plans need to run?

SKILL.md names no scripts, command-line tools or credentials: Writing Plans is instructions for the agent only.

Does Writing Plans access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Writing Plans 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 Writing Plans use?

Writing Plans is published under the BSD-3-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Writing Plans use?

About 262 tokens (SKILL.md is roughly 1k 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 Writing Plans?

Skills that share tags, products or a category with Writing Plans: Executing Plans Inline (obra/superpowers, 297k stars), Interview Me (addyosmani/agent-skills, 105k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 72k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Writing Plans?

Optima-CityU (a GitHub organization) maintains it in Optima-CityU/LLM4AD_Next, which has 574 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 9, 2026.

Source: Optima-CityU/LLM4AD_Next on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.