Agent skill

Plan

by zereight in zereight/gitlab-mcp

Strategic planning with optional interview workflow. An agent skill from zereight/gitlab-mcp.

MITAuto-check passedAgent Workflows

Install Plan

skills CLI
$ npx skills add zereight/gitlab-mcp --skill plan -a claude-code

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

GitHub CLI
$ gh skill install zereight/gitlab-mcp plan --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/zereight/gitlab-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/plan .claude/skills/plan && 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
plan
GitHub stars
2k
Used in
1 other repo
Token cost
~509 tokens
SKILL.md length
213 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

Strategic planning with optional interview workflow. An agent skill from zereight/gitlab-mcp.

  • Works in 5 steps: Classify request: broad triggers interview → Ask ONE focused question at a time for… → Gather codebase facts via @explore… → …
  • Says: plan this
  • SKILL.md covers Modes, Interview Mode (broad/vague…, Direct Mode (detailed requests) and Consensus Mode (--consensus /…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Plan is an agent skill from zereight/gitlab-mcp. Strategic planning with optional interview workflow. Activate when user says: plan this, plan the, let's plan, make a plan, how should we approach.

Its SKILL.md is about 510 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 Startup and business strategy. The repository describes itself as: First gitlab mcp for you, building together. The licence is MIT.

When your agent uses it

  • Says: plan this
  • How should we approach

Example prompts

  • “/plan”

Workflow steps

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

  1. Classify request: broad triggers interview
  2. Ask ONE focused question at a time for preferences, scope, constraints
  3. Gather codebase facts via @explore BEFORE asking user
  4. Consult @analyst for hidden requirements
  5. Create plan when user signals readiness

What it can do on your machine

Read from SKILL.md and the folder at commit 0109168. 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

Plan loads about 509 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 213 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~509

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 zereight/gitlab-mcp at commit 0109168, republished under its MIT licence (© zereight). 213 words, ~509 tokens.

Download SKILL.mdSave it as .claude/skills/plan/SKILL.md (or your agent's skills folder).
name
plan
description
Strategic planning with optional interview workflow. Activate when user says: plan this, plan the, let's plan, make a plan, how should we approach.
argument-hint
[--direct|--consensus|--review] <task description>

Plan

Creates comprehensive, actionable work plans through intelligent interaction. Auto-detects whether to interview (broad requests) or plan directly (detailed requests).

Modes

ModeTriggerBehavior
InterviewDefault for broad requestsInteractive requirements gathering
Direct--direct, or detailed requestSkip interview, generate plan directly
Consensus--consensus, "ralplan"Planner → Architect → Critic loop
Review--reviewCritic evaluation of existing plan

Interview Mode (broad/vague requests)

  1. Classify request: broad triggers interview
  2. Ask ONE focused question at a time for preferences, scope, constraints
  3. Gather codebase facts via @explore BEFORE asking user
  4. Consult @analyst for hidden requirements
  5. Create plan when user signals readiness

Direct Mode (detailed requests)

  1. Optional brief @analyst consultation
  2. Generate comprehensive work plan immediately

Consensus Mode (--consensus / "ralplan")

  1. @planner creates initial plan with RALPLAN-DR summary (Principles, Decision Drivers, Options)
  2. @architect reviews for architectural soundness (sequential, NOT parallel with critic)
  3. @critic evaluates quality criteria (after architect completes)
  4. Re-review loop (max 5 iterations) if critic rejects
  5. Apply improvements on approval
  6. Final plan includes ADR (Decision, Drivers, Alternatives, Why chosen, Consequences)

Review Mode (--review)

  1. Read plan from .omc/plans/
  2. @critic evaluates
  3. Return verdict: APPROVED / REVISE / REJECT

Output

Plans saved to .omc/plans/. Include:

  • Requirements Summary
  • Testable Acceptance Criteria
  • Implementation Steps (with file references)
  • Risks and Mitigations
  • Verification Steps

© zereight, MIT. 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 .github/skills/plan of zereight/gitlab-mcp.

Open the folder on GitHubat commit 0109168

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in zereight/gitlab-mcp, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Plan 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.

Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Plan this skillzereight/gitlab-mcp2k1 repos~509Automated safety check: PassMIT
Omc PlanYeachan-Heo/oh-my-claudecode40k—~6.2kAutomated safety check: WarnMIT
Theboardroomdavepoon/buildwithclaude3.6k—~1.5kAutomated safety check: PassMIT
Myriad Prediction Marketsmoonpay/skills113—~1.6kAutomated safety check: NotesMIT
TAM SAM SOM Calculatordeanpeters/Product-Manager-Skills7.2k1 repos~4.8kAutomated safety check: PassCustom licence
Startup Pressure TestKappaemme-git/codex-startup-pressure-test-skill991—~1.2kAutomated safety check: PassMIT

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Questions about Plan

What does Plan do?

Strategic planning with optional interview workflow. An agent skill from zereight/gitlab-mcp. Plan is an agent skill from zereight/gitlab-mcp. Strategic planning with optional interview workflow.

When should I use Plan?

Plan fits situations like: says: plan this; how should we approach.

How do I install Plan in Claude Code?

Run `npx skills add zereight/gitlab-mcp --skill plan -a claude-code`. Or copy the skill folder (.github/skills/plan in zereight/gitlab-mcp) into .claude/skills/plan in your project. Claude Code loads it when a task matches its description.

How do I install Plan in Codex?

Run `npx skills add zereight/gitlab-mcp --skill plan -a codex`. Or copy the skill folder (.github/skills/plan in zereight/gitlab-mcp) into .agents/skills/plan in your project. Codex loads it when a task matches its description.

Can I use Plan 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 zereight/gitlab-mcp --skill plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/plan, .gemini/skills/plan, .github/skills/plan and .opencode/skills/plan in your project.

What does Plan need to run?

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

Does Plan 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 Plan 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 Plan use?

Plan is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Plan use?

About 509 tokens (SKILL.md is roughly 2k 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 Plan?

Skills that share tags, products or a category with Plan: Omc Plan (Yeachan-Heo/oh-my-claudecode, 40k stars), Theboardroom (davepoon/buildwithclaude, 3.6k stars), Myriad Prediction Markets (moonpay/skills, 113 stars) and TAM SAM SOM Calculator (deanpeters/Product-Manager-Skills, 7.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Plan?

zereight (a GitHub user) maintains it in zereight/gitlab-mcp, which has 2,027 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 6, 2026.

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