Skip to content
Agentmart
Submit a tool

create-implementation-plan

Explicitly invoked workflow for creating a concrete implementation plan file from a requested task.

Skill by KFlamsted

IndexedMIT
Write a review

Chalk Labs

Need help deploying create-implementation-plan?

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/kflamsted-create-implementation-plan

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

Explicitly invoked workflow for creating a concrete implementation plan file from a requested task.

Use cases: productivity

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. 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/create-implementation-plan

What's inside

Skill name
create-implementation-plan
Description
Explicitly invoked workflow for creating a concrete implementation plan file from a requested task.
License
MIT
Instructions
36 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Create Implementation Plan

Create a detailed implementation plan only. Do not change code.

## Input
- A task description from the user.

## Process
1. Inspect the repository enough (through code exploration, tool calls, documentation and/or existing plans) to understand the task.
2. Before planning, perform a requirements and ambiguity audit. Consider:
   - the desired outcome and how success will be evaluated;
   - scope, non-goals, and boundaries;
   - user-visible behavior and workflows;
   - edge cases, failure behavior, and validation;
   - compatibility, migration, API, and data implications;
   - operational, security, performance, and rollout constraints;
   - testing and acceptance criteria.
3. Identify every unresolved decision that could change the plan, implementation, public behavior, or acceptance criteria. Do not infer the user's preference merely because one option seems conventional. Repository evidence may answer factual questions, but it must not substitute for product or scope decisions. Avoid questions already answered by repository conventions or concerning inconsequential implementation details.
4. Ask focused clarification questions before writing the plan. Explain briefly why each question matters and provide concrete options with a recommended default when practical. Use open-ended questions when predefined options would be limiting or misleading.
5. After each response, update your understanding and look for newly exposed ambiguities. Continue asking follow-up questions until:
   - the intended outcome and boundaries are explicit;
   - materially different interpretations have been resolved;
   - acceptance criteria are testable; and
   - the resulting plan can be implemented without product or scope decisions being made by the implementer.
6. Summarize the agreed requirements, decisions, non-goals, and remaining assumptions. Ask the user to confirm or correct this summary. Do not create the plan until it is confirmed.
7. Create a concrete implementation plan that is detailed enough so a low- to mid level engineer, without any prior repository context, can implement consistently with high quality.

For questions and clarifications, use the available clarification tool (`AskQuestion`, `question`, or similar variants such as `AskUserQuestions`) if available; otherwise, ask in plain text.

## Output
- Write the plan to `<TASK_NAME>_PLAN.md` unless project rules determine something else. Then go by project rules.
- Make sure the chosen plan name does not overwrite an existing plan.
- Include relevant files, implementation steps, tests, risks, and assumptions.
- Make sure the plan is detailed enough so a low- to mid level engineer, without any prior repository context, can implement it consistently, with high quality, without further questions.

From KFlamsted/agent-workflow-kit, MIT.

More from KFlamsted/agent-workflow-kit

Signals

Stars
0
Forks
0
Open issues
0
Last commit (this folder)
Sep 12, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from KFlamsted

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 create-implementation-plan 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 create-implementation-plan?

CallGet help
Cite this page

create-implementation-plan skill. Agent Mart. https://agentmart.dev/skills/kflamsted-create-implementation-plan (last updated 2026-10-24)