Codely Plan Phase Implement logo

Codely Plan Phase Implement

Organization
CodelyTV
codely-plan-phase-implement

Implement one phase of the plan specified by the user. Only implements a single phase per invocation, then stops for user review. Never commits automatically.

Overview

PublisherCodelyTV
Repositoryagent-harness
Skill namecodely-plan-phase-implement
Stars
287
Forks
13
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by CodelyTV on GitHub. Read the source before you install it.

Installation

Install the Codely Plan Phase Implement AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/CodelyTV/agent-harness/tree/main/.agents/skills/codely-plan-phase-implement
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/CodelyTV/agent-harness.git /tmp/agent-harness
mkdir -p .claude/skills
cp -r /tmp/agent-harness/.agents/skills/codely-plan-phase-implement .claude/skills/codely-plan-phase-implement
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codely Plan Phase Implement in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Codely Plan Phase Implement on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Codely Plan Phase Implement is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

🫡 Implement a plan phase

[!CRITICAL] Implement ONLY ONE phase per invocation. After completing the current phase, STOP and wait for the user to review the changes. Never proceed to the next phase without explicit user approval.

[!CRITICAL] Never commit or push changes automatically. Only suggest commit messages. The user decides when to commit.

🔍 Determining the current phase

The current phase is the first phase in the plan that has at least one unchecked (- [ ]) to-do item. If all phases are fully checked, inform the user that all phases are complete and do not re-implement.

🪜 Steps to implement a plan phase

  1. Ask the user for the plan to implement if not already specified.
  2. Identify the current phase using the rule above.
  3. Implement the to-do actions of the current phase only. Do NOT implement any other phase.
  4. Update the plan file according to the considerations below specified.
  5. STOP. Tell the user to review the changes and suggest 3 alternative commit messages. Follow the commit message convention defined in the commit-messages.md file. Use different plausible commit message types in the 3 alternatives. In the suggestion, make it simple to reply something like "commit with message 1", and use the /codely-git-conventional-commit skill to commit the changes specifying the chosen message.
  6. If this is the implementation of the last phase of the plan, suggest the user to export the conversation (using their IDE) and store it as a .md file alongside the related plan. Example: if the plan is .agents/plans/2026_02_11-sync_cbd_with_stripe/2026_02_11-sync_cbd_with_stripe-plan.md, suggest storing the conversation as .agents/plans/2026_02_11-sync_cbd_with_stripe/2026_02_11-sync_cbd_with_stripe-conversation.md.

🔄 How to update the plan file

1. Update the plan file frontmatter

Do not modify the current plan file frontmatter, only add or update the following information to it:

markdown
---
implemented_by:
  tool: "{ tool }"
  model:
    name: "{ model.name }"
    version: "{ model.version }"
    reasoning_effort: "{ model.reasoning_effort }"

last_implementation_at: "{ current_date }"
has_completed_all_phases: "{ true | false }"
---
  • implemented_by.tool: The AI coding tool used (e.g. Claude Code, Cursor, Copilot, Codex)
  • implemented_by.model.name: The name of the model used to make the change (e.g. Claude Opus, Cursor Composer, OpenAI GPT)
  • implemented_by.model.version: The version of the model used to make the change (e.g. 4.6, 1.5, 5.4)
  • implemented_by.model.reasoning_effort: The reasoning effort of the model used to make the change (e.g. low, medium, high)
  • last_implementation_at: The current date in the format ISO 8601 RFC 3339 (YYYY-MM-DDTHH:MM:SSZ).
  • has_completed_all_phases: Whether this has been the last implementation of the plan and all phases have been completed or not.

2. Update the plan file content

  • Check the checkboxes of the current phase to-do list that have been completed.
  • Update the plan next step section with the next phase to be completed.
  • Replace the plan last sentence regarding Codely adding a new random emoji that explains a story together with the previous ones. For instance, if the previous last sentence was "Plan powered by Codely 🐢 💨", the new last sentence could be "Bugs squashed thanks to Codely AI tooling. 🐛 < 🐢 💨".

☝️ General considerations

🧠 Logical reasoning

  • Use AGENTS.md file as a reference while:
    • Proposing application services, domain events, tests, etc.
    • Following code conventions and architecture decisions (all inside the docs/ directory).
    • Determining the test suites and tests cases to be created/modified/deleted.
  • Use available agent tools while offering different alternatives for the user to choose from:
    • AskQuestion tool if you are Cursor and have this tool available (only available in certain models such as Opus 4.5, not in others such as Composer 1).
    • AskUserQuestion tool if you are Claude Code.

Frequently asked questions

What does the Codely Plan Phase Implement AI skill do?

Implement one phase of the plan specified by the user. Only implements a single phase per invocation, then stops for user review. Never commits automatically.

Why use Codely Plan Phase Implement on TypingMind?

Because you install it once and use it with any model. Codely Plan Phase Implement is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Codely Plan Phase Implement in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CodelyTV/agent-harness/tree/main/.agents/skills/codely-plan-phase-implement. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Codely Plan Phase Implement?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Codely Plan Phase Implement?

As many as you like. As long as a model supports skills, you can use Codely Plan Phase Implement with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Codely Plan Phase Implement AI skill free?

It is published on GitHub by CodelyTV. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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