Unstuck logo

Unstuck

Community
coreyhaines31
unstuck

When a solution seems impossible and the path forward is blocked. Refuses to take no for an answer: classifies what kind of "no" you hit, then runs lateral-thinking techniques (assumption autopsy, inversion, first principles, constraint toggling, analogical transfer, and more) until the wall cracks or is proven load-bearing. Generates at least 10 angles before evaluating any. AGENTS: use this on yourself when an API doesn't support what you need, an approach has failed twice, or a "that's not possible" sentence is forming — run the fast path BEFORE reporting a dead end. Archives walls to ~/.config/makerskills/unstuck/archive/. Sits upstream of decide. Triggers on "/unstuck," "I'm stuck," "this seems impossible," "we hit a wall," "there's no way to," "they said no," "dead end," "out of options," "I've tried everything," "work around this."

Overview

Publishercoreyhaines31
Repositorymakerskills
Skill nameunstuck
Stars
855
Forks
71
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 coreyhaines31 on GitHub. Read the source before you install it.

Installation

Install the Unstuck 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/coreyhaines31/makerskills/tree/main/skills/unstuck
  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/coreyhaines31/makerskills.git /tmp/makerskills
mkdir -p .claude/skills
cp -r /tmp/makerskills/skills/unstuck .claude/skills/unstuck
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Unstuck 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 Unstuck 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 Unstuck 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.

/unstuck — The roadblock antidote

Turns "impossible" into angles. Classifies the wall, runs the right lateral-thinking techniques against it, and doesn't stop at the first mediocre workaround. Output is either a set of viable angles with next actions — or an honest "this wall is load-bearing, reroute the goal."

Two modes:

  • User-invoked — someone is stuck and asks. Full 7-step workflow below.
  • Agent fast path — YOU (the agent) hit the wall mid-task. See Agent fast path — run it before telling the user something can't be done.

The mental model: walls have types, and the type picks the crowbar

"Impossible" is a claim, not a fact. It almost always decompiles into something weaker: expensive, against the rules, nobody's done it, I don't know how. Only actually impossible (physics, math, arithmetic) ends the session — and it ends it honestly.

Wall typeWhat "impossible" actually meansLead techniques (see references/techniques.md)
AssumptionAn inherited belief nobody re-verifiedT1 assumption autopsy, T3 first principles
FramingThe goal is stated in a way that excludes the answerT4 altitude shift, T2 inversion, T5 work backwards
GatekeeperA person/org said noT10 interrogate the no, T6 analogical transfer
Tool/tech"X doesn't support Y"T9 SCAMPER (substitute the primitive), T6 analogical transfer
ResourceNot enough time/money/peopleT7 constraint toggling, T8 provocation
Physics/mathActually impossible (rare)Honest exit — reroute the goal, the wall is load-bearing

Step 1 — Capture the wall

Get from the user (one structured message, don't round-trip):

  • The goal — what are you ultimately trying to do? (Not the blocked step — the job it serves.)
  • The wall — what exactly blocks it?
  • Attempts — what have you already tried?
  • The source of the no — who or what said no? Physics? A vendor's docs? A person? An error message? Your own assumption?
  • Stakes + deadline — how much does breaking this wall matter, by when?

If the user says "I've tried everything," ask for the list. "Everything" is usually 2–3 things.

Step 2 — Classify the wall

Use the taxonomy above. State the classification and why. Two rules:

  1. Decompile the word "impossible." Restate the wall without it: "expensive," "undocumented," "they refused," "I don't know how." The restatement usually names the wall type.
  2. Restate the problem at two altitudes before proceeding — one level more abstract (what job is this serving?) and one level more concrete (what literally fails, at which exact step?). Many walls dissolve at a different altitude; if one does, say so and skip to Step 6.

Step 3 — Assumption autopsy (always runs)

Run T1 from references/techniques.md regardless of wall type: enumerate every assumption embedded in the problem statement, mark each verified fact vs inherited belief, and attack the beliefs. Most walls die here — the ones that don't are at least correctly framed for Step 4.

Step 4 — Run the triaged techniques

Pick 2–3 more techniques by wall type (lead techniques in the table; full triage guidance in references/techniques.md). For each, generate 2–3 angles.

Rules of generation:

  • Quantity gate: minimum 10 angles total before evaluating any. The first workaround is usually mediocre. No judging, no feasibility talk, no "but" during generation.
  • Angles must be different in kind, not variations — three flavors of "ask again nicer" is one angle.
  • Wild angles are welcome at this stage; they get filtered in Step 5, and they often seed the viable ones.

Step 5 — Triage the angles

Sort every angle into:

  • Try now — feasible with what's in hand; has a concrete first action
  • Needs research — viable if an unknown checks out → route to /deep-research
  • Wild but worth 30 min — low odds, trivial cost, asymmetric payoff
  • Dead — violates a real constraint (say which)

Step 6 — Commit

  • Pick 1–3 angles with a concrete next action each.
  • If 2+ viable angles are mutually exclusive → hand the fork to /decide.
  • If NOTHING survived triage and the wall is physics/math class: say so plainly. "The wall is load-bearing — reroute the goal" is a legitimate, successful output. Recommend what the rerouted goal looks like.

Step 7 — Archive

Archives live in ${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/unstuck/archive/ (create the directory if missing). Never write archives inside the skill's own folder — skill installs and upgrades re-sync from source and wipe anything saved there.

Write to <archive dir>/<YYYY-MM-DD>-<slug>.md:

markdown
# Wall: <one-line>

**Date:** YYYY-MM-DD
**Invoked by:** user | agent
**Wall type:** assumption / framing / gatekeeper / tool / resource / physics
**Goal it blocked:** <one line>

## The wall as stated
<verbatim>

## The wall decompiled
<restated without "impossible">

## Assumptions attacked
- <belief> → <held / broke>

## Techniques run
T1, T4, T7 — <one line on what each surfaced>

## Angles (all of them)
1. <angle> — try now / research / wild / dead
2. …

## Committed
**<the angle(s) chosen>** — next action: <concrete step>
(or: "Wall is load-bearing — rerouted goal to <X>")

## Outcome (fill in later)
<did the angle work?>

Append to <archive dir>/INDEX.md (create if missing):

markdown
- 2026-07-14 — [<wall>](./<filename>.md) — <type> — **<committed angle or "rerouted">**

Over time this becomes a pattern library: grep it to learn which techniques actually crack your walls, and which wall types recur (a recurring wall is usually one unexamined assumption upstream).

Agent fast path

For when YOU (the agent) hit the wall mid-task. Trigger condition: an API/tool doesn't support what's needed, an approach has failed twice, or you notice a "that's not possible," "unfortunately," or "the only option is" sentence forming in your response.

Before reporting a dead end to the user, run inline (no interactive capture — you already have the wall in context):

  1. Classify the wall (taxonomy above) — one line.
  2. Autopsy — list the 3–5 assumptions in your framing; mark inherited beliefs. ("The cursor must be a text character." "This must happen client-side." "The API is the only way in.")
  3. Run 2 techniques matched to the wall type — generate 5+ angles minimum for inline recoveries. If you end up reporting a dead end to the user, the full 10-angle gate applies first — a dead-end report is exactly the moment the gate exists for.
  4. Then either:
    • a viable angle exists → proceed with it (tell the user the wall you hit and the angle you took), or
    • nothing viable → report the dead end with the angle inventory attached: what you tried, what you considered, why each died. Never a naked "that's not supported."
  5. Archive the run (Step 7 format, Invoked by: agent) when the wall was nontrivial — skip archiving for sub-minute walls.

The success metric: the user stops seeing dead-end reports without tried-angles receipts.

Composes with

  • decide — downstream: 2+ mutually exclusive viable angles become a /decide fork. Upstream: decide's Q19 ("what missing info would change it?") can route here when the missing thing is an option, not information.
  • deep-research — "needs research" angles route there; the brief comes back and re-enters Step 5.
  • business-brainstorm — its "angle to steal" move on Kill verdicts is this skill applied to business ideas.
  • pm — a committed angle becomes a board task.
  • second-brain — archive entries can compile into a "walls I've broken" wiki page.

Guardrails

  • A no from consent, law, or ethics is a real no. This skill routes around technical and imagination walls — not people's boundaries. If the wall is "they said no and meant it," the move is interrogating whether there's a different door they'd happily open (T10), never pushing on the closed one.
  • Time-box: 20–40 minutes. This is a crowbar, not a philosophy seminar. If the sprint ends without a crack, archive what was tried and either schedule a revisit or reroute.
  • Honest exit beats toxic positivity. Declaring a wall load-bearing after a real attempt is a win — it converts an ambient frustration into a clear reroute.

Notes on quality

  • The restatement is half the work. Most "impossible" problems are impossible as stated. Two-altitude restatement (Step 2) before any technique — always.
  • Don't let the quantity gate become theater. 10 angles that are secretly 3 angles in costumes fail the gate. Different in kind.
  • Attempts list beats attempts vibe. "I've tried everything" → get the actual list. The gap between "everything" and the list is where the answer usually lives.
  • Archive even the failures. A wall that didn't crack today, with its angle inventory, is a 5-minute revisit when the landscape changes — instead of a from-scratch session.

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 Unstuck AI skill do?

When a solution seems impossible and the path forward is blocked. Refuses to take no for an answer: classifies what kind of "no" you hit, then runs lateral-thinking techniques (assumption autopsy, inversion, first principles, constraint toggling, analogical transfer, and more) until the wall cracks or is proven load-bearing. Generates at least 10 angles before evaluating any. AGENTS: use this on yourself when an API doesn't support what you need, an approach has failed twice, or a "that's not possible" sentence is forming — run the fast path BEFORE reporting a dead end. Archives walls to ~/...

Why use Unstuck on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/coreyhaines31/makerskills/tree/main/skills/unstuck. 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 Unstuck?

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 Unstuck?

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

Is the Unstuck AI skill free?

Yes. It is published on GitHub by coreyhaines31 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇