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Find Way

Community
danielvm-git
find-way

Plan a large effort as a shared map of decision tickets on an issue tracker, resolving them one at a time until the way is clear. Use when an idea is too big for one session, needs structured exploration before implementation, or requires mapping decisions before building.

Overview

Publisherdanielvm-git
Repositorybigpowers
Skill namefind-way
Stars
206
Forks
18
Bundled files
1
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.

  • 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 danielvm-git on GitHub. Read the source before you install it.

Installation

Install the Find Way 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/danielvm-git/bigpowers.git /tmp/bigpowers
mkdir -p .claude/skills
cp -r /tmp/bigpowers/skills/find-way .claude/skills/find-way
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Find Way 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 Find Way 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 Find Way 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.

Find Way

Concept

A large effort arrives — too big for one session, wrapped in fog. Find-way charts the way as a shared map on the repo's issue tracker, then works decision tickets — questions whose resolution is a decision, not build slices — one at a time until the route is clear.

Plan, don't do. Each ticket resolves a decision. The map is done when the way is clear — nothing left to decide before someone executes.

Refer by name. Every map and ticket is an issue with a title. Always use the name, never bare ids or numbers.

The Map

A single issue labelled wayfinder:map — the canonical artifact. Child issues are its tickets.

markdown
## Destination
<what reaching the end looks like  one or two lines>

## Notes
<domain, skills to consult, standing preferences>

## Decisions so far
- [closed ticket title](link) — one-line gist

## Not yet specified
<in-scope fog you can't ticket yet>

## Out of scope
<work ruled beyond the destination>

Ticket Types

TypeLabelModePurpose
Researchwayfinder:researchAFKSurface facts from docs/APIs
Prototypewayfinder:prototypeHITLCheap artifact to react to
Grillingwayfinder:grillingHITLOne-question-at-a-time dialogue
Taskwayfinder:taskEitherManual work unblocking a decision

HITL = human in the loop. AFK = agent alone.

Two Modes

Chart the Map

User invokes with a loose idea.

  1. Name the destination — grill to pin down what this map finds its way to
  2. Map the frontier — breadth-first: surface open decisions and first steps. If no fog emerges, the effort fits one session — skip the map
  3. Create the map issue (label wayfinder:map)
  4. Create tickets as child issues, then wire blocking edges in a second pass
  5. Fire research subagents for each research ticket in parallel
  6. Stop — charting resolves nothing

Work Through the Map

User invokes with a map (URL/number). Ticket optional — without one, pick the next frontier ticket.

  1. Load the map (low-res view)
  2. Choose & claim — assign ticket before any work
  3. Resolve — zoom into related/closed tickets as needed
  4. Record — post resolution comment, close issue, append to Decisions-so-far
  5. Graduate fog — create new tickets from newly-specifiable fog, clear from Not-yet-specified
  6. Rule out of scope if resolution reveals something past the destination

Never resolve more than one ticket per session (except research).

Fog of War

Beyond live tickets lies the fog — decisions you can tell are coming but can't pin down yet. The Not yet specified section holds this dim view.

Fog or ticket? Test: can you state the question precisely now?

  • Ticket when the question is sharp (even if blocked)
  • Not yet specified when you can't phrase it sharply yet

Out of Scope

Work beyond the destination. Ruling something out is a scoping act, not a route step. Never graduates — returns only if destination is redrawn.

If an existing ticket sits past the destination, close it and note in Out of scope.

Blocking & Frontier

  • Blocking: tracker's native dependency relationship
  • Unblocked: every blocker is closed
  • Frontier: open, unblocked, unclaimed children — the edge of the known

Detailed Reference

See REFERENCE.md for ticket anatomy, resolution protocol, and examples.

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 Find Way AI skill do?

Plan a large effort as a shared map of decision tickets on an issue tracker, resolving them one at a time until the way is clear. Use when an idea is too big for one session, needs structured exploration before implementation, or requires mapping decisions before building.

Why use Find Way on TypingMind?

Because you install it once and use it with any model. Find Way 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 Find Way in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielvm-git/bigpowers/tree/main/skills/find-way. 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 Find Way?

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 Find Way?

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

Is the Find Way AI skill free?

Yes. It is published on GitHub by danielvm-git 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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