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Ring:Executing Plans

Organization
LerianStudio
ring:executing-plans

Controlled plan execution with human review checkpoints - loads plan, executes in batches, pauses for feedback. Supports one-go (autonomous) or batch modes.

Overview

PublisherLerianStudio
Repositoryring
Skill namering:executing-plans
Stars
215
Forks
28
Bundled files
Instructions only
LicenseApache-2.0
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 LerianStudio on GitHub. Read the source before you install it.

Installation

Install the Ring:Executing Plans 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.
  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/LerianStudio/ring.git /tmp/ring
mkdir -p .claude/skills
cp -r /tmp/ring/default/skills/executing-plans .claude/skills/lerianstudio-ring-executing-plans
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ring:Executing Plans 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 Ring:Executing Plans 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 Ring:Executing Plans 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.

Executing Plans

Overview

Load plan, review critically, choose execution mode, execute tasks with code review.

Core principle: User chooses between autonomous execution or batch execution with human review checkpoints.

Two execution modes:

  • One-go (autonomous): Execute all batches continuously with code review, report only at completion
  • Batch (with review): Execute one batch, code review, pause for human feedback, repeat

Announce at start: "I'm using the ring:executing-plans skill to implement this plan."

The Process

Step 1: Load and Review Plan

  1. Read plan file
  2. Review critically - identify any questions or concerns about the plan
  3. If concerns: Raise them with your human partner before starting
  4. If no concerns: Create TodoWrite and proceed to Step 2

Step 2: Choose Execution Mode (MANDATORY)

⚠️ THIS STEP IS NON-NEGOTIABLE. You MUST use AskUserQuestion before executing ANY tasks.

Ask: "How would you like to execute this plan?" Options: (1) One-go (autonomous) - all batches with code review, no human review until completion (2) Batch (with review) - pause for human review after each batch

Based on response: One-go → Steps 3-4 loop until done | Batch → Steps 3-5 loop

Why AskUserQuestion is Mandatory (Not "Contextual Guidance")

This is a structural checkpoint, not optional UX polish.

User saying "don't wait", "don't ask questions", or "just execute" does NOT skip this step because:

  1. Execution mode affects architecture - One-go vs batch determines review checkpoints, error recovery paths, and rollback points
  2. Implicit intent ≠ explicit choice - "Don't wait" might mean "use one-go" OR "ask quickly and proceed"
  3. AskUserQuestion takes 3 seconds - It's not an interruption, it's a confirmation
  4. Emergency pressure is exactly when mistakes happen - Structural gates exist FOR high-pressure moments

Common Rationalizations That Mean You're About to Violate This Rule:

RationalizationReality
"User intent is crystal clear"Intent is not the same as explicit selection. Ask anyway.
"This is contextual guidance, not absolute law"Wrong. It says MANDATORY. That means mandatory.
"Asking would violate their 'don't ask' instruction"AskUserQuestion is a 3-second structural gate, not a conversation.
"Skills are tools, not bureaucratic checklists"This skill IS the checklist. Follow it.
"Interpreting spirit over letter"The spirit IS the letter. Use AskUserQuestion.
"User already chose by saying 'just execute'"Verbal shorthand ≠ structured mode selection. Ask.

If you catch yourself thinking any of these → STOP → Use AskUserQuestion anyway.

Step 2.5: Context Switching for Multi-Module Plans

If plan has tasks with target: and working_directory: fields:

  1. Track current module:

    current_module = None
    current_directory = "."
  2. Before each task, check for context switch:

    IF task.target != current_module AND current_module != None:
      # Prompt user for confirmation
      AskUserQuestion:
        question: "Switching to {task.target} module at {task.working_directory}. Continue?"
        header: "Context"
        options:
          - label: "Continue"
            description: "Switch to {task.target} and execute task"
          - label: "Skip task"
            description: "Skip this task and continue with next"
          - label: "Stop"
            description: "Stop execution for manual review"
    
      IF answer == "Continue":
        current_module = task.target
        current_directory = task.working_directory
      ELIF answer == "Skip":
        Mark task as skipped → proceed to next
      ELSE:
        Stop execution → report progress
  3. Load module-specific PROJECT_RULES.md:

    IF {task.working_directory}/PROJECT_RULES.md exists:
      Instruct agent to read module-specific rules
      Module rules override root rules
  4. Pass working directory to agent:

    Task(
      subagent_type=task.agent,
      prompt="Working directory: {task.working_directory}
    
      Before executing, cd to the working directory:
      cd {task.working_directory}
    
      If PROJECT_RULES.md exists in this directory, read and follow it.
    
      {task.prompt}"
    )

Optimization: To minimize context switches, batch tasks by module when possible:

  • Original: [backend, frontend, backend, frontend]
  • Optimized: [backend, backend, frontend, frontend]
  • Only reorder if no dependencies between modules

Step 3: Execute Batch

Default: First 3 tasks

Agent Selection: Backend Go → ring:backend-engineer-golang | Backend TS → ring:backend-engineer-typescript | Frontend → ring:frontend-bff-engineer-typescript | Infra → ring:devops-engineer | Testing → ring:qa-analyst | Reliability → ring:sre

For each task: Check context switch (Step 2.5) → Mark in_progress → Dispatch to agent with working_directory → Follow plan steps exactly → Run verifications → Mark completed

Step 4: Run Code Review

After each batch, REQUIRED: Use ring:requesting-code-review (all 7 reviewers in parallel)

Handle by severity:

  • Critical/High/Medium: Fix immediately (no TODO) → re-run all 7 reviewers → repeat until resolved
  • Low: Add TODO(review): [Issue] ([reviewer], [date], Low)
  • Cosmetic: Add FIXME(nitpick): [Issue] ([reviewer], [date], Cosmetic)

Proceed when: Zero Critical/High/Medium remain + all Low/Cosmetic have comments

Step 5: Report and Continue

One-go mode: Log internally → proceed to next batch → report only at completion Batch mode: Show implementation + verification + review results → "Ready for feedback." → wait → apply changes → Skill("ring:committing-changes") (after user approves the completed phase, before elaborating the next batch) → proceed

Step 6: Complete Development

Use finishing-a-development-branch to verify tests, present options, execute choice.

When to Stop

STOP immediately: Blocker mid-batch | Critical gaps | Unclear instruction | Verification fails repeatedly. Ask rather than guess.

Remember

  • MANDATORY: AskUserQuestion for execution mode - NO exceptions
  • Use * agents over general-purpose when available
  • Run code review after each batch (all 7 parallel)
  • Fix Critical/High/Medium immediately (no TODO)
  • Low → TODO, Cosmetic → FIXME
  • Stop when blocked, don't guess
  • If rationalizing why to skip AskUserQuestion → You're wrong → Ask anyway

Blocker Criteria

STOP and report if:

Decision TypeBlocker ConditionRequired Action
Execution modeAskUserQuestion not used for mode selectionSTOP and ask for execution mode - NO exceptions
Plan loadingPlan file not found or unreadableSTOP and report missing plan
Code reviewCritical/High/Medium issues found in reviewSTOP and fix before proceeding
Task blockerTask blocked mid-batchSTOP and report blocker details
VerificationTask verification fails repeatedlySTOP and escalate

Cannot Be Overridden

The following requirements CANNOT be waived:

  • AskUserQuestion for execution mode is MANDATORY - user intent does NOT skip this step
  • Code review after each batch is REQUIRED - all 7 reviewers in parallel
  • Critical/High/Medium issues MUST be fixed immediately - TODO comments are FORBIDDEN for these severities
  • Context switch confirmation is REQUIRED when switching between modules
  • Full test suite MUST pass before completing development

Severity Calibration

SeverityConditionRequired Action
CRITICALSkipped AskUserQuestion for execution modeMUST stop and ask for mode selection
CRITICALProceeding with unfixed Critical/High review findingsMUST fix issues before continuing
HIGHSkipped code review after batchMUST run all 7 reviewers
HIGHUsed TODO for Critical/High/Medium issuesMUST fix immediately, remove TODO
MEDIUMMissing context switch confirmation for multi-moduleShould add module switch prompt
LOWLow-severity issues without TODO commentFix by adding proper TODO format

Pressure Resistance

User SaysYour Response
"Just execute, don't ask about mode""MUST use AskUserQuestion for execution mode. This is a structural checkpoint, not optional. Takes 3 seconds."
"Skip the code review, we're in a hurry""Code review is REQUIRED after each batch. CANNOT proceed without running all 7 reviewers."
"Add a TODO for that critical issue, fix later""Critical/High/Medium issues MUST be fixed immediately. TODO comments FORBIDDEN for these severities."
"User intent is clear, skip the question""Intent is not explicit selection. MUST use AskUserQuestion - it's a structural gate, not conversation."

Anti-Rationalization Table

RationalizationWhy It's WRONGRequired Action
"User said 'just execute' so mode is clear"Verbal shorthand ≠ structured mode selectionMUST use AskUserQuestion anyway
"This is contextual guidance, not absolute law"It says MANDATORY - that means mandatoryMUST follow the mandatory step
"Asking would violate their 'don't ask' instruction"AskUserQuestion is a 3-second structural gate, not a conversationMUST ask for execution mode
"Skills are tools, not bureaucratic checklists"This skill IS the checklist; that's its purposeMUST follow the checklist
"Review is overkill for small changes"Small changes can have critical bugs; review catches themMUST run code review after each batch

Frequently asked questions

What does the Ring:Executing Plans AI skill do?

Controlled plan execution with human review checkpoints - loads plan, executes in batches, pauses for feedback. Supports one-go (autonomous) or batch modes.

Why use Ring:Executing Plans on TypingMind?

Because you install it once and use it with any model. Ring:Executing Plans 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 Ring:Executing Plans in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LerianStudio/ring/tree/main/default/skills/executing-plans. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ring:Executing Plans?

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 Ring:Executing Plans?

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

Is the Ring:Executing Plans AI skill free?

Yes. It is published on GitHub by LerianStudio under the Apache-2.0 license. 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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