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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/geldmacher-plan-work
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.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/plan-work
What's inside
- Skill name
plan-work- Description
- Plan repository implementation when requested.
- License
- MIT
- Instructions
- 21 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# plan-work Read the [working agreement](../../references/workflow.md) unless it is already in this task's context. A natural-language request for an implementation plan selects planning; routine reasoning within implementation does not start a separate planning phase. Inspect the repository and applicable saved project lessons, checking their current relevance, before asking questions it can answer. Planning is read-only; verification inspection does not start the product. Before questions, inspect other worktrees for in-flight work, this checkout's uncommitted changes, and any unfinished plan or implementation already documented for this repository. A clean idle worktree is not another workstream. When another workstream is active, or this checkout is dirty with work this task must leave untouched, read [concurrent work](../../references/concurrent-work.md) and record continue, wait, or isolate in the plan so implementation can cold-start. A clean sole checkout needs no worktree and no extra question. Check relevant plan choices against the north star, assignment and success criteria; resolve consequential conflicts with the user. Stop when goal, boundaries, interfaces and checks suffice. Clear assignments need no interview or advance design of routine details. When a short throwaway experiment can settle an open technical question, propose that experiment instead of lengthening the plan with a risk list. When the assignment is vague or underspecified (missing the goal, boundaries, interfaces, success checks, or a material trade-off that would change the plan), an optional short decision round may ask only what blocks a sound plan. Offer a concrete recommendation the user can accept or steer, in a few focused questions. Do not add a separate skill for that round, require a glossary, expand a design tree, or turn planning or Auto-Work into an interview gate. For a repeated correction, read the [learning guidance](../../references/learning-work.md) and plan prevention proportionate to the assignment. Explain the goal, benefit, observable success criteria, scope, exclusions, material risks, dependencies, decisions, and checks. Add files, interfaces, commands or sequencing where needed. When an API, CLI, or config format is new or changed, include a short usage example from the caller's side and the key signatures, so a later implementation that has only the plan has a concrete target and review can compare against it. A small change may need only a few paragraphs. When the change is material (architecture, a breaking change, several surfaces, or schema and deploy), note second-order effects in one line each where relevant: caller impact, data or migration, deploy and rollback, and security or auth. Mark speculation as speculation. Omit this for a routine fix or a small plan. Resolve success criteria, instruction conflicts, permissions, and consequential choices before presenting a descriptively titled plan. Carry the working agreement, [implementation requirements](../../references/implementation-work.md), accepted references, and open learning collection into the handoff. Use an accessible reference to the complete collection when the receiver can reach it; include the full collection when they cannot. In standalone work, direct the human to check the plan and start implementation, then commission Review. In expressly commissioned Auto-Work, Light waits for plan approval; Dark can continue within the human goal assignment. Neither mode resolves consequential missing choices by assumption. Read the playbook [catalog](../engineering-work/references/catalog.md) when the user asks about methods or the task has an unexplained defect, a live failure or trace, a performance or metric target, refactoring, a design question, a visual reference, agent comparison, skill authoring, or resumed work. Skip it for a clear routine change with suitable checks. Assess verifier gaps independently. Only selected additions enter the plan. Unaccepted offers neither block planning nor recur for that scope. Check task-relevant prerequisites and feedback routes, reusing current evidence. Follow [project readiness](../../references/project-readiness.md) when the affected behavior has no runnable check, a check route is broken or differs between local and CI, or a consequential decision lacks project direction. Reuse suitable checks and verifiers without an offer or justification. Read the [verification guidance](../../references/verification-work.md) for options and handoff when acceptance needs a running UI, CLI, service, side effect, or journey that established checks do not cover, or when the change affects a feature an existing verifier covers. Retain evidence gaps and acceptance limits.
From geldmacher/workflow, MIT.
More from geldmacher/workflow
- 0.603score
verify-auto-work
geldmacher
Verify built Workflow Auto-Work behavior in isolated native-agent trials and local delivery simulations.
SkillAFreshness: A★ 3Claude Code +9 - 0.600score
deploy-local-plugin
geldmacher
Build, inspect, dry-run, or deploy the current repository's host-specific local plugin copies for Cursor, Codex, and OpenCode.
SkillAFreshness: A★ 3Claude Code +9 - 0.598score
verify-project-setup
geldmacher
Verify Workflow project setup, maintenance, readiness offers, and verifier cooperation in isolated native trials.
SkillAFreshness: A★ 3Claude Code +9 - 0.598score
auto-work
geldmacher
Experimental: run requested Light/Dark sequences with independent review.
SkillAFreshness: A★ 3Claude Code +9 - 0.596score
implement-work
geldmacher
Implement a supplied plan artefact outside the host Implement Plan action.
SkillAFreshness: A★ 3Claude Code +9 - 0.595score
setup-workflow
geldmacher
Establish project purpose, checks and agent guidance.
SkillAFreshness: A★ 3Claude Code +9 - 0.595score
release-plugin
geldmacher
Choose the appropriate semantic version and complete this repository's validated Cursor, Codex, and OpenCode GitHub Release in one invocation.
SkillAFreshness: A★ 3Claude Code +9 - 0.595score
verification-work
geldmacher
Create or maintain project verifiers.
SkillAFreshness: A★ 3Claude Code +9 - 0.595score
engineering-work
geldmacher
Recommend playbooks; apply human-selected methods.
SkillAFreshness: A★ 3Claude Code +9 - 0.593score
work-status
geldmacher
Summarize a Workflow task's documented progress, open points, and next action.
SkillAFreshness: A★ 3Claude Code +9 - 0.593score
workflow-doctor
geldmacher
Assess a task's prerequisites and check coverage, read-only.
SkillAFreshness: A★ 3Claude Code +9 - 0.593score
explain-work
geldmacher
Explain Workflow plans, review findings, or handoffs read-only.
SkillAFreshness: A★ 3Claude Code +9
Signals
- Stars
- 3
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 21, 2026 (9 days ago)
- Last release
- Oct 21, 2026 (9 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/geldmacher/workflow
- Website
- dennis.geldmacher.dev
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from geldmacher
- 0.603score
verify-auto-work
geldmacher
Verify built Workflow Auto-Work behavior in isolated native-agent trials and local delivery simulations.
SkillAFreshness: A★ 3Claude Code +9 - 0.600score
deploy-local-plugin
geldmacher
Build, inspect, dry-run, or deploy the current repository's host-specific local plugin copies for Cursor, Codex, and OpenCode.
SkillAFreshness: A★ 3Claude Code +9 - 0.598score
verify-project-setup
geldmacher
Verify Workflow project setup, maintenance, readiness offers, and verifier cooperation in isolated native trials.
SkillAFreshness: A★ 3Claude Code +9 - 0.598score
auto-work
geldmacher
Experimental: run requested Light/Dark sequences with independent review.
SkillAFreshness: A★ 3Claude Code +9 - 0.596score
implement-work
geldmacher
Implement a supplied plan artefact outside the host Implement Plan action.
SkillAFreshness: A★ 3Claude Code +9 - 0.595score
release-plugin
geldmacher
Choose the appropriate semantic version and complete this repository's validated Cursor, Codex, and OpenCode GitHub Release in one invocation.
SkillAFreshness: A★ 3Claude Code +9
Done for you
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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.
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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.
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- launches shipped
- media placements
- 500+
- media placements
- founders on every account
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- 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.
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Cite this page
plan-work skill. Agent Mart. https://agentmart.dev/skills/geldmacher-plan-work (last updated 2026-10-24)