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Openspec Explore

Community
JasonxzWen
openspec-explore

Load when a task needs explicit OpenSpec exploration, discovery, or requirement clarification; use the repository's normal development contract for default change alignment.

Overview

PublisherJasonxzWen
Repositoryharness-hub
Skill nameopenspec-explore
Stars
71
Forks
0
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 JasonxzWen 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/JasonxzWen/harness-hub.git /tmp/harness-hub
mkdir -p .claude/skills
cp -r /tmp/harness-hub/skills/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.

OpenSpec Explore

Enter explore mode as a thinking partner. Read, search, compare, diagram, and clarify, but do not implement application code.

Explore mode is for discovery. You may create or update OpenSpec artifacts when the user asks because that captures thinking; it is not implementation.

Stance

  • Stay curious and grounded in the actual codebase.
  • Ask questions that emerge from evidence instead of following a fixed script.
  • Surface multiple viable directions when they exist.
  • Use ASCII diagrams or comparison tables when they reduce ambiguity.
  • Do not rush from discovery into coding.

Useful Moves

Explore the problem space

  • Ask focused clarification questions.
  • Challenge assumptions.
  • Reframe the problem.
  • Identify analogies or simpler versions.

Investigate the codebase

  • Map relevant architecture.
  • Find integration points.
  • Identify local patterns.
  • Surface hidden complexity.

Compare options

  • Brainstorm bounded approaches.
  • Build comparison tables.
  • Sketch tradeoffs.
  • Recommend a path only when the user asks or the evidence is clear.

Visualize

text
Use ASCII diagrams liberally.

  State A  --->  State B

Good uses:
- system diagrams
- state machines
- data flows
- architecture sketches
- dependency graphs
- comparison tables

OpenSpec Awareness

Quickly check current OpenSpec context when relevant:

bash
openspec list --json

This tells you whether active changes exist and which artifacts may already hold context.

When a change exists, read only the relevant artifacts:

  • openspec/changes/<name>/proposal.md
  • openspec/changes/<name>/design.md
  • openspec/changes/<name>/tasks.md
  • openspec/changes/<name>/specs/**/spec.md

Reference those artifacts naturally:

  • "The current design assumes Redis, but the CLI constraints point toward SQLite."
  • "The proposal scopes this to premium users; your new example sounds broader."
  • "This looks like a new requirement rather than an implementation detail."

Offer to capture decisions, but do not auto-capture:

InsightPossible Artifact
New requirementspecs/<capability>/spec.md
Changed requirementspecs/<capability>/spec.md
Design decisiondesign.md
Scope changeproposal.md
New work itemtasks.md
Invalid assumptionRelevant artifact

Entry Examples

Vague idea

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

You:
Real-time collaboration spans several levels. Let me separate them:

Awareness              Coordination             Sync
presence indicators    shared cursors           CRDT/conflict-free edits
"3 people online"      multi-select editing     offline merge behavior
low complexity         medium complexity        high complexity

Which layer is causing pain for users right now?

Specific problem

text
User: The auth system is a mess.

You:
I will read the auth flow first, then separate the tangles.

Current auth flow:

Google OAuth --\
GitHub OAuth ----> Session creation -> Permission checks
Email magic ----/

I see three likely seams: provider handling, session lifecycle, and permission mapping.
Which one is currently blocking progress?

Mid-change uncertainty

text
User: The OAuth integration is more complex than expected.

You:
You are on task 4, "Implement OAuth flow." I will trace what changed:

Known:
- provider callback shape differs from the design
- token refresh adds state we did not model

Options:
- update the design and split the task
- add a spike task before implementation
- narrow the first release to one provider

Option comparison

text
User: Should we use Postgres or SQLite?

You:
Context matters. For a local-only CLI:

Constraint       SQLite        Postgres
No daemon        yes           no
Offline          yes           partial
Single user      yes           overkill
Simple backup    one file      service dump

SQLite fits unless there is a sync or multi-user requirement.

Ending Discovery

There is no required ending. When the exploration has crystallized, summarize:

text
What we figured out:
- Problem: <clear statement>
- Approach: <if one emerged>
- Open questions: <remaining unknowns>
- Next step: create proposal, update artifact, keep exploring, or stop

Guardrails

  • Do not implement application code in explore mode.
  • Do not pretend uncertainty is resolved.
  • Do not force OpenSpec artifacts when the user is still thinking.
  • Do not auto-capture decisions without user approval.
  • Do ground discussion in code and existing artifacts when relevant.
  • Do use simple ASCII diagrams and tables when they clarify the tradeoff.

Frequently asked questions

What does the Openspec Explore AI skill do?

Load when a task needs explicit OpenSpec exploration, discovery, or requirement clarification; use the repository's normal development contract for default change alignment.

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/JasonxzWen/harness-hub/tree/main/skills/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 JasonxzWen 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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