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Memory Turn Closeout

Organization
SilentLake-Tech-SkillHub
memory-turn-closeout

Re-evaluate the current user prompt against task, Plan, issue, validation, and acceptance evidence before every final response, then update project Memory. Use proactively at turn closeout; the Stop Hook is fallback only.

Overview

PublisherSilentLake-Tech-SkillHub
RepositorySilentAgentHub
Skill namememory-turn-closeout
Stars
184
Forks
0
Bundled files
1
Links
Skill sourceRepository
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by SilentLake-Tech-SkillHub on GitHub. Read the source before you install it.

Installation

Install the Memory Turn Closeout 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/SilentLake-Tech-SkillHub/SilentAgentHub/tree/main/harness/V5.2.5/skills-source/memory-turn-closeout
  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/SilentLake-Tech-SkillHub/SilentAgentHub.git /tmp/SilentAgentHub
mkdir -p .claude/skills
cp -r /tmp/SilentAgentHub/harness/V5.2.5/skills-source/memory-turn-closeout .claude/skills/memory-turn-closeout
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Memory Turn Closeout 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 Memory Turn Closeout 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 Memory Turn Closeout 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.

Memory Turn Closeout

  1. Before drafting the final response, read the current turn's sanitized SHORT_MEMORY record. Do not wait for Stop to reinject an instruction.
  2. Compare every requested outcome with task, Plan, Decision, issue, risk, Validation, and Acceptance evidence.
  3. Choose exactly one status: completed, needs_user, blocked, cancelled, or superseded.
  4. Run .codex/hooks/memory-runtime.ps1 -Event Closeout with conversation ID, turn ID, status, result, evidence, and next action. The runtime delegates to the transaction-safe closeout and migration scripts.
  5. Only completed, cancelled, superseded, or user-approved closed_unresolved may move to LONG_MEMORY.
  6. Keep needs_user and blocked in SHORT_MEMORY with a concrete blocker and next action. Refresh the active summary and require memory-index.json to match the new state, short location, and per-conversation Hash before returning success.
  7. For terminal migration, remove the conversation's detailed records, rollup, and active summary from SHORT only after LONG verification succeeds.

User-visible closeout contract

  • Normal path: close out the current turn before submitting the final response; Stop should observe a settled status and pass without a card.
  • Fallback path: if Stop finds received, working, or verifying, it may block once with a short internal-processing message. Complete the existing turn immediately; never re-capture the Prompt.
  • A Plan approval, status question, or read-only follow-up uses needs_user only when the wider active task genuinely awaits user action. Do not manufacture a blocker merely to keep the conversation in SHORT.
  • The final response must not claim the system was repaired merely because one turn was proactively closed.

Never infer completion from the prompt alone. Never mark unverified work completed.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Memory Turn Closeout AI skill do?

Re-evaluate the current user prompt against task, Plan, issue, validation, and acceptance evidence before every final response, then update project Memory. Use proactively at turn closeout; the Stop Hook is fallback only.

Why use Memory Turn Closeout on TypingMind?

Because you install it once and use it with any model. Memory Turn Closeout 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 Memory Turn Closeout in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SilentLake-Tech-SkillHub/SilentAgentHub/tree/main/harness/V5.2.5/skills-source/memory-turn-closeout. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Memory Turn Closeout?

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 Memory Turn Closeout?

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

Is the Memory Turn Closeout AI skill free?

It is published on GitHub by SilentLake-Tech-SkillHub. 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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