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Recover Context

CommunityPopular
pchalasani
recover-context

Extract full context of the last task from the most recent parent session shown in the session lineage. Strategically uses sub-agents to avoid bloating your own context.

Overview

Publisherpchalasani
Repositoryclaude-code-tools
Skill namerecover-context
Stars
2K
Forks
134
Bundled files
Instructions only
LicenseMIT
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 pchalasani on GitHub. Read the source before you install it.

Installation

Install the Recover Context 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/pchalasani/claude-code-tools/tree/main/plugins/aichat/skills/recover-context
  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/pchalasani/claude-code-tools.git /tmp/claude-code-tools
mkdir -p .claude/skills
cp -r /tmp/claude-code-tools/plugins/aichat/skills/recover-context .claude/skills/recover-context
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Recover Context 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 Recover Context 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 Recover Context 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.

recover-context

Use this skill to extract context from a parent session when a session lineage is present (shown in the first user message of this conversation).

Instructions

  1. Identify the most recent parent session from the lineage chain (the last file in the chronological list).

  2. Use sub-agents to explore (to avoid bloating your own context):

    • If you have the Task tool with subagent support, use the session-searcher subagent (subagent_type: session-searcher) to analyze the most recent session
    • If sub-agents are NOT available, use the aichat:session-search skill instead
  3. Extract the following from the most recent session:

    • What was the last task being worked on?
    • What was the current state of that task (completed, in-progress, blocked)?
    • Any pending items or next steps mentioned?
    • Key decisions made or approaches chosen
  4. Also check for associated documents:

    • Issue specs or task descriptions referenced in the session
    • Any markdown files created during that session (check WORKLOG/, issues/, etc.)
    • Code files that were being modified
  5. Report back concisely:

    • State your understanding of the task context
    • List any files you found that are relevant
    • Ask the user how they'd like to proceed

Example Sub-agent Prompt

If using the Task tool with session-searcher subagent:

Analyze the session file at [path from lineage] and extract:
1. The last task being worked on (look at the final 20-30 messages)
2. Current state of that task
3. Any referenced markdown files (issue specs, work logs, etc.)
4. Pending next steps or blockers

Return a concise summary.

Constraints

  • Do NOT read large session files directly into your own context
  • ALWAYS delegate to sub-agents or the session-search skill
  • Keep your summary concise - the user knows what they were working on
  • Focus on the LAST task, not the entire session history

Frequently asked questions

What does the Recover Context AI skill do?

Extract full context of the last task from the most recent parent session shown in the session lineage. Strategically uses sub-agents to avoid bloating your own context.

Why use Recover Context on TypingMind?

Because you install it once and use it with any model. Recover Context 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 Recover Context in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pchalasani/claude-code-tools/tree/main/plugins/aichat/skills/recover-context. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Recover Context?

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 Recover Context?

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

Is the Recover Context AI skill free?

Yes. It is published on GitHub by pchalasani under the MIT 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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