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Planning With Files

Organization
trailofbits
planning-with-files

Implements file-based planning for complex multi-step tasks. Creates task_plan.md, findings.md, and progress.md as persistent working memory. Use when starting tasks requiring >5 tool calls, multi-phase projects, research, or any work where losing track of goals and progress would be costly.

Overview

Publishertrailofbits
Repositoryskills-curated
Skill nameplanning-with-files
Stars
513
Forks
35
Bundled files
3
LicenseCC-BY-SA-4.0
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Planning With Files 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/trailofbits/skills-curated/tree/main/plugins/planning-with-files/skills/planning-with-files
  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/trailofbits/skills-curated.git /tmp/skills-curated
mkdir -p .claude/skills
cp -r /tmp/skills-curated/plugins/planning-with-files/skills/planning-with-files .claude/skills/planning-with-files
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Planning With Files 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 Planning With Files 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 Planning With Files 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.

Planning with Files

Use persistent markdown files as working memory on disk.

Quick Start

  1. Create planning files -- use /plan or create manually from templates
  2. Create task_plan.md with goal, phases, and key questions
  3. Create findings.md for research and decisions
  4. Create progress.md for session logging
  5. Re-read the plan before decisions -- refreshes goals in attention
  6. Update after each phase -- mark status, log errors

When to Use

  • Multi-step tasks (3+ phases)
  • Research projects requiring many searches
  • Building or creating projects with multiple files
  • Tasks spanning many tool calls (>10)
  • Any work where losing track of goals would be costly
  • Tasks that may span multiple sessions

When NOT to Use

  • Simple questions or quick lookups
  • Single-file edits with obvious scope
  • Tasks completable in under 5 tool calls
  • Conversational exchanges without implementation

Core Pattern

Context Window = RAM (volatile, limited)
Filesystem     = Disk (persistent, unlimited)

Anything important gets written to disk.

After many tool calls, the original goal drifts out of the attention window. Reading task_plan.md brings it back. This is the single most important pattern in file-based planning.

File Purposes

FilePurposeWhen to Update
task_plan.mdPhases, progress, decisionsAfter each phase completes
findings.mdResearch, discoveries, decisionsAfter ANY discovery
progress.mdSession log, test resultsThroughout the session

All three files go in the project root, not the plugin directory.

Critical Rules

1. Create Plan First

Never start a complex task without task_plan.md. This is non-negotiable. The plan is your persistent memory.

2. The 2-Action Rule

After every 2 search, browse, or read operations, immediately save key findings to findings.md. Multimodal content (images, browser results, PDF contents) does not persist in context -- capture it as text before it is lost.

3. Read Before Decide

Before any major decision, re-read task_plan.md. This pushes goals and context back into the recent attention window, counteracting the "lost in the middle" effect that occurs after ~50 tool calls.

[Original goal -- far away in context, forgotten]
...many tool calls...
[Recently read task_plan.md -- gets ATTENTION]
→ Now make the decision with goals fresh in context

4. Update After Act

After completing any phase:

  • Mark phase status: in_progress -> complete
  • Log any errors encountered in the Errors table
  • Note files created or modified in progress.md

5. Log ALL Errors

Every error goes in task_plan.md. Include the attempt number and resolution. This builds knowledge and prevents repeating failures.

markdown
## Errors Encountered
| Error | Attempt | Resolution |
|-------|---------|------------|
| FileNotFoundError | 1 | Created default config |
| API timeout | 2 | Added retry logic |

6. Never Repeat Failures

If an action failed, the next action must be different. Track what you tried and mutate the approach.

if action_failed:
    next_action != same_action

3-Strike Error Protocol

ATTEMPT 1: Diagnose & Fix
  -> Read error carefully
  -> Identify root cause
  -> Apply targeted fix

ATTEMPT 2: Alternative Approach
  -> Same error? Try a different method
  -> Different tool? Different library?
  -> NEVER repeat the exact same failing action

ATTEMPT 3: Broader Rethink
  -> Question assumptions
  -> Search for solutions
  -> Consider updating the plan

AFTER 3 FAILURES: Escalate to User
  -> Explain what you tried (with attempt log)
  -> Share the specific error
  -> Ask for guidance

Read vs Write Decision Matrix

SituationActionReason
Just wrote a fileDon't read itContent still in context
Viewed image/PDFWrite findings NOWMultimodal content doesn't persist
Browser returned dataWrite to fileScreenshots don't persist
Starting new phaseRead plan/findingsRe-orient if context is stale
Error occurredRead relevant fileNeed current state to fix
Resuming after gapRead all planning filesRecover full state

5-Question Reboot Test

If you can answer these from your planning files, context is solid:

QuestionAnswer Source
Where am I?Current phase in task_plan.md
Where am I going?Remaining phases
What's the goal?Goal statement in plan
What have I learned?findings.md
What have I done?progress.md

Anti-Patterns

Don'tDo Instead
State goals once and forgetRe-read plan before decisions
Hide errors and retry silentlyLog every error to plan file
Stuff everything in contextStore large content in files
Start executing immediatelyCreate plan file FIRST
Repeat failed actionsTrack attempts, mutate approach
Create files in plugin directoryCreate files in project root

References

  • Templates -- starter templates for all three planning files
  • Principles -- context engineering principles behind this approach
  • Examples -- concrete examples and error recovery patterns

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 Planning With Files AI skill do?

Implements file-based planning for complex multi-step tasks. Creates task_plan.md, findings.md, and progress.md as persistent working memory. Use when starting tasks requiring >5 tool calls, multi-phase projects, research, or any work where losing track of goals and progress would be costly.

Why use Planning With Files on TypingMind?

Because you install it once and use it with any model. Planning With Files 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 Planning With Files in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/trailofbits/skills-curated/tree/main/plugins/planning-with-files/skills/planning-with-files. 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 Planning With Files?

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 Planning With Files?

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

Is the Planning With Files AI skill free?

Yes. It is published on GitHub by trailofbits under the CC-BY-SA-4.0 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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