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Using Superpowers

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andreaswasita
using-superpowers

Activates the dojo framework at the start of a session.

Overview

Publisherandreaswasita
Repositorycopilot-agents-dojo
Skill nameusing-superpowers
Stars
54
Forks
15
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 andreaswasita on GitHub. Read the source before you install it.

Installation

Install the Using Superpowers 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/andreaswasita/copilot-agents-dojo/tree/main/skills/using-superpowers
  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/andreaswasita/copilot-agents-dojo.git /tmp/copilot-agents-dojo
mkdir -p .claude/skills
cp -r /tmp/copilot-agents-dojo/skills/using-superpowers .claude/skills/using-superpowers
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Using Superpowers 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 Using Superpowers 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 Using Superpowers 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.

Using Superpowers Skill

Loads the dojo framework at session start: confirms the core disciplines are active, surfaces relevant lessons, and verifies clean state before any work begins. Does NOT replace the underlying skills — it sequences their loading and the session opening ritual.

When to Use

  • At the start of every new session in a dojo-enabled repo.
  • When the user says "use superpowers", "activate the dojo", or "start the framework".
  • When another skill references the mandatory workflow.
  • After resuming from a checkpoint or context handoff.
  • NOT mid-session for already-active skills — re-loading wastes turns.

Prerequisites

  • The dojo is installed in the repo (skills/, optional-skills/, tasks/, spec/).
  • The view, edit, grep, and powershell Copilot tools.
  • git available to inspect branch + working tree.
  • tasks/lessons.md exists (created empty if first session).
  • scripts/verify.sh (or scripts/run-checks.ps1) available for the session-start gate.

How to Run

text
1. Review `tasks/lessons.md` for relevant active lessons.
2. Open `tasks/todo.md` — is there work in progress?
3. Confirm `git status`: right branch, clean tree (or known WIP).
4. Acknowledge: "Dojo framework active. Core disciplines loaded."
5. Hand off to the trigger skill for the user's actual request.

Quick Reference

Always-on (core)Why it loads at every session
behavioral-foundationThe five non-negotiable prime directives
plan-before-codeForces planning before any multi-step work
verify-before-doneEvidence required for any "done" claim
self-improvementLessons captured every correction
demand-eleganceHacky solutions get challenged
autonomous-bug-fixFull bug cycle without hand-holding
safety-guardrailsDestructive commands get a preflight check
subagent-strategyDelegation is a first-class option
Workflow chain (practical)Triggered when
brainstorming → plan-before-code → executing-plans → requesting-code-review → finishing-a-development-branchA non-trivial change begins
Workflow scenarioWorkflow shape
New featureFull pipeline: brainstorm → finish
Bug fix (non-trivial)Skip brainstorm, start at plan
One-line fixDirect fix + verify-before-done
RefactoringStart at plan, emphasis on test baseline
Code reviewUse code-review + receiving-code-review

Procedure

Skill Activation Map

Always active (Core Disciplines):

  • behavioral-foundation — The five non-negotiable prime directives (the charter)
  • plan-before-code — Plan multi-step work before touching code
  • verify-before-done — Prove your work with evidence
  • self-improvement — Capture lessons, review at session start
  • demand-elegance — Challenge hacky solutions
  • autonomous-bug-fix — Full bug cycle, zero hand-holding
  • safety-guardrails — Preflight check before destructive commands
  • subagent-strategy — Delegate research and analysis

Workflow skills (activate in sequence):

  • brainstorming → using-git-worktrees → executing-plans → requesting-code-review → finishing-a-development-branch

On-demand skills (load when needed):

  • code-review — Reviewing PRs or diffs
  • refactoring — Safe restructuring
  • test-writing — Writing meaningful tests
  • pr-workflow — Preparing merge-ready PRs
  • debugging — Systematic complex debugging
  • codebase-onboarding — Understanding unfamiliar repos
  • dispatching-parallel-agents — Concurrent sub-agent work
  • receiving-code-review — Processing review feedback
  • skill-creator / writing-skills — Creating new skills

Session Start Ritual

Every session begins with:

  1. Read memory/INDEX.md — What knowledge exists in the vault?
  2. Query relevant context — bash scripts/memory-query.sh --type pattern --recent 5
  3. Review tasks/lessons.md — Any un-promoted lessons?
  4. Check tasks/todo.md — Is there work in progress?
  5. Verify git status — Are we on the right branch? Clean state?
  6. Acknowledge active skills — "Dojo framework active. Memory vault loaded. All skills live."

Session End Ritual

Every non-trivial session ends with:

  1. Write session summary — memory/sessions/YYYY-MM-DD-summary.md
  2. Promote patterns — Any lessons at 3+ occurrences? Move to memory/patterns/
  3. Record decisions — Any architectural choices? Log in memory/decisions/
  4. Capture preferences — User corrections about style/approach? Log in memory/preferences/
  5. Rebuild the graph — bash scripts/link-index.sh
  6. Update lessons metrics — tasks/lessons.md

Enforcement Rules

  1. All skills are mandatory — No skipping steps in the workflow
  2. No code without a plan (unless one-liner fix)
  3. No merge without verification — scripts/verify.sh or equivalent
  4. No "done" without proof — Tests, logs, diffs
  5. Every correction becomes a lesson — tasks/lessons.md
  6. Every session ends with a summary — memory/sessions/
  7. Patterns are promoted, not buried — 3+ occurrences → memory/patterns/
  8. Main branch is read-only — Work on feature branches/worktrees

Examples

Session Start:

Agent: "Dojo framework active. Memory vault loaded (4 decisions, 7 patterns, 3 preferences). Reviewed lessons.md (3 active lessons, 1 relevant to today's task). No work in progress. On main branch, clean state. Ready."

Skill Triggering:

User: "I want to add real-time notifications" Agent: brainstorming activates → asks Socratic questions → design approved → using-git-worktrees activates → creates feature branch → plan-before-code activates → writes plan to tasks/todo.md → executing-plans activates → works through tasks → requesting-code-review activates → self-reviews → finishing-a-development-branch activates → presents merge options

Pitfalls

  • "I'll skip brainstorming, I know what to build" — You don't. Ask questions.
  • "I'll just commit to main this once" — You won't "just" anything. Use a branch.
  • "Tests take too long, I'll add them later" — Later never comes. Test now.
  • "The plan is in memory only" — Write it in tasks/todo.md or it doesn't exist.
  • "I already know everything" — Review tasks/lessons.md. You forgot something.

Verification

  • memory/INDEX.md was read and active context surfaced.
  • tasks/lessons.md reviewed and any relevant rules acknowledged.
  • tasks/todo.md checked for work-in-progress before starting new work.
  • git status confirms correct branch and clean (or known-WIP) tree.
  • Acknowledgement message issued ("Dojo framework active…").
  • All Core Discipline skills are loaded for the session.
  • Session-end ritual scheduled (summary + pattern promotion + link rebuild).

Frequently asked questions

What does the Using Superpowers AI skill do?

Activates the dojo framework at the start of a session.

Why use Using Superpowers on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/andreaswasita/copilot-agents-dojo/tree/main/skills/using-superpowers. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Using Superpowers?

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 Using Superpowers?

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

Is the Using Superpowers AI skill free?

Yes. It is published on GitHub by andreaswasita 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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