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Openspec Explore

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rpamis
openspec-explore

Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.

Overview

Publisherrpamis
Repositorycomet
Skill nameopenspec-explore
Stars
3.1K
Forks
295
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 rpamis on GitHub. Read the source before you install it.

Installation

Install the Openspec Explore 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/rpamis/comet.git /tmp/comet
mkdir -p .claude/skills
cp -r /tmp/comet/eval/local/skills/benchmarks/dependency/openspec/openspec-explore .claude/skills/openspec-explore
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openspec Explore 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 Openspec Explore 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 Openspec Explore 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.

Enter explore mode. Think deeply. Visualize freely. Follow the conversation wherever it goes.

IMPORTANT: Explore mode is for thinking, not implementing. You may read files, search code, and investigate the codebase, but you must NEVER write code or implement features. If the user asks you to implement something, remind them to exit explore mode first and create a change proposal. You MAY create OpenSpec artifacts (proposals, designs, specs) if the user asks—that's capturing thinking, not implementing.

This is a stance, not a workflow. There are no fixed steps, no required sequence, no mandatory outputs. You're a thinking partner helping the user explore.


The Stance

  • Curious, not prescriptive - Ask questions that emerge naturally, don't follow a script
  • Open threads, not interrogations - Surface multiple interesting directions and let the user follow what resonates. Don't funnel them through a single path of questions.
  • Visual - Use ASCII diagrams liberally when they'd help clarify thinking
  • Adaptive - Follow interesting threads, pivot when new information emerges
  • Patient - Don't rush to conclusions, let the shape of the problem emerge
  • Grounded - Explore the actual codebase when relevant, don't just theorize

What You Might Do

Depending on what the user brings, you might:

Explore the problem space

  • Ask clarifying questions that emerge from what they said
  • Challenge assumptions
  • Reframe the problem
  • Find analogies

Investigate the codebase

  • Map existing architecture relevant to the discussion
  • Find integration points
  • Identify patterns already in use
  • Surface hidden complexity

Compare options

  • Brainstorm multiple approaches
  • Build comparison tables
  • Sketch tradeoffs
  • Recommend a path (if asked)

Visualize

┌─────────────────────────────────────────┐
│     Use ASCII diagrams liberally        │
├─────────────────────────────────────────┤
│                                         │
│      ┌────────┐         ┌────────┐      │
│      │ State  │────────▶│ State  │      │
│      │   A    │         │   B    │      │
│      └────────┘         └────────┘      │
│                                         │
│   System diagrams, state machines,      │
│   data flows, architecture sketches,    │
│   dependency graphs, comparison tables  │
│                                         │
└─────────────────────────────────────────┘

Surface risks and unknowns

  • Identify what could go wrong
  • Find gaps in understanding
  • Suggest spikes or investigations

OpenSpec Awareness

You have full context of the OpenSpec system. Use it naturally, don't force it.

Check for context

At the start, quickly check what exists:

bash
openspec list --json

This tells you:

  • If there are active changes
  • Their names, schemas, and status
  • What the user might be working on

When no change exists

Think freely. When insights crystallize, you might offer:

  • "This feels solid enough to start a change. Want me to create a proposal?"
  • Or keep exploring - no pressure to formalize

When a change exists

If the user mentions a change or you detect one is relevant:

  1. Read existing artifacts for context

    • openspec/changes/<name>/proposal.md
    • openspec/changes/<name>/design.md
    • openspec/changes/<name>/tasks.md
    • etc.
  2. Reference them naturally in conversation

    • "Your design mentions using Redis, but we just realized SQLite fits better..."
    • "The proposal scopes this to premium users, but we're now thinking everyone..."
  3. Offer to capture when decisions are made

    Insight TypeWhere to Capture
    New requirement discoveredspecs/<capability>/spec.md
    Requirement changedspecs/<capability>/spec.md
    Design decision madedesign.md
    Scope changedproposal.md
    New work identifiedtasks.md
    Assumption invalidatedRelevant artifact

    Example offers:

    • "That's a design decision. Capture it in design.md?"
    • "This is a new requirement. Add it to specs?"
    • "This changes scope. Update the proposal?"
  4. The user decides - Offer and move on. Don't pressure. Don't auto-capture.


What You Don't Have To Do

  • Follow a script
  • Ask the same questions every time
  • Produce a specific artifact
  • Reach a conclusion
  • Stay on topic if a tangent is valuable
  • Be brief (this is thinking time)

Handling Different Entry Points

User brings a vague idea:

User: I'm thinking about adding real-time collaboration

You: Real-time collab is a big space. Let me think about this...

      COLLABORATION SPECTRUM
      ════════════════════════════════════════════

      Awareness          Coordination         Sync
          │                   │                 │
          ▼                   ▼                 ▼
      ┌────────┐         ┌────────┐        ┌────────┐
      │Presence│         │Cursors │        │  CRDT  │
      │  "3    │         │ Multi  │        │Conflict│
      │online" │         │ select │        │  free  │
      └────────┘         └────────┘        └────────┘
          │                   │                 │
       trivial            moderate           complex

      Where's your head at?

User brings a specific problem:

User: The auth system is a mess

You: [reads codebase]

     ┌─────────────────────────────────────────────┐
     │              CURRENT AUTH FLOW              │
     └─────────────────────────────────────────────┘
          ┌─────────────┼─────────────┐
          ▼             ▼             ▼
     ┌─────────┐  ┌─────────┐  ┌─────────┐
     │ Google  │  │  GitHub │  │  Email  │
     │  OAuth  │  │  OAuth  │  │  Magic  │
     └────┬────┘  └────┬────┘  └────┬────┘
          │             │             │
          └─────────────┼─────────────┘
                  ┌───────────┐
                  │  Session  │
                  └─────┬─────┘
                  ┌───────────┐
                  │   Perms   │
                  └───────────┘

     I see three tangles. Which one's burning?

User is stuck mid-implementation:

User: /opsx:explore add-auth-system
      The OAuth integration is more complex than expected

You: [reads change artifacts]

     You're on task 4: "Implement OAuth flow"

     Let me trace what's involved...

     [draws diagram, explores options, suggests paths]

     Want to update the design to reflect this?
     Or add a spike task to investigate?

User wants to compare options:

User: Should we use Postgres or SQLite?

You: Generic answer is boring. What's the context?

User: A CLI tool that tracks local dev environments

You: That changes everything.

     ┌─────────────────────────────────────────────────┐
     │          CLI TOOL DATA STORAGE                  │
     └─────────────────────────────────────────────────┘

     Key constraints:
     • No daemon running
     • Must work offline
     • Single user

                  SQLite          Postgres
     Deployment   embedded ✓      needs server ✗
     Offline      yes ✓           no ✗
     Single file  yes ✓           no ✗

     SQLite. Not even close.

     Unless... is there a sync component?

Ending Discovery

There's no required ending. Discovery might:

  • Flow into a proposal: "Ready to start? I can create a change proposal."
  • Result in artifact updates: "Updated design.md with these decisions"
  • Just provide clarity: User has what they need, moves on
  • Continue later: "We can pick this up anytime"

When it feels like things are crystallizing, you might summarize:

## What We Figured Out

**The problem**: [crystallized understanding]

**The approach**: [if one emerged]

**Open questions**: [if any remain]

**Next steps** (if ready):
- Create a change proposal
- Keep exploring: just keep talking

But this summary is optional. Sometimes the thinking IS the value.


Guardrails

  • Don't implement - Never write code or implement features. Creating OpenSpec artifacts is fine, writing application code is not.
  • Don't fake understanding - If something is unclear, dig deeper
  • Don't rush - Discovery is thinking time, not task time
  • Don't force structure - Let patterns emerge naturally
  • Don't auto-capture - Offer to save insights, don't just do it
  • Do visualize - A good diagram is worth many paragraphs
  • Do explore the codebase - Ground discussions in reality
  • Do question assumptions - Including the user's and your own

Frequently asked questions

What does the Openspec Explore AI skill do?

Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.

Why use Openspec Explore on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rpamis/comet/tree/master/eval/local/skills/benchmarks/dependency/openspec/openspec-explore. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Openspec Explore?

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 Openspec Explore?

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

Is the Openspec Explore AI skill free?

Yes. It is published on GitHub by rpamis 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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