Agent skill

Source Command Opsx Explore

by zhe-qi in zhe-qi/clhoria-template

Enter explore mode - think through ideas, investigate problems, clarify requirements

MITAuto-check passedAgent Workflows

Install Source Command Opsx Explore

skills CLI
$ npx skills add zhe-qi/clhoria-template --skill source-command-opsx-explore -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zhe-qi/clhoria-template source-command-opsx-explore --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zhe-qi/clhoria-template.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/source-command-opsx-explore .claude/skills/source-command-opsx-explore && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
source-command-opsx-explore
GitHub stars
193
Token cost
~1.6k tokens
SKILL.md length
737 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Enter explore mode - think through ideas, investigate problems, clarify requirements

  • Works in 4 steps: Read existing artifacts for context → Reference them naturally in conversation → Offer to capture when decisions are made → …
  • Tasks that involve Requirements gathering
  • SKILL.md covers Command Template, The Stance, What You Might Do and OpenSpec Awareness, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Source Command Opsx Explore is an agent skill from zhe-qi/clhoria-template. Enter explore mode - think through ideas, investigate problems, clarify requirements

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Requirements gathering. The repository describes itself as: Production-ready Hono backend template that doubles as an AI agent harness — providing feedforward guides, feedback sensors, and progressive specialization to make AI coding… The licence is MIT.

When your agent uses it

  • Tasks that involve Requirements gathering

Example prompts

  • “/source-command-opsx-explore”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read existing artifacts for context
  2. Reference them naturally in conversation
  3. Offer to capture when decisions are made
  4. The user decides - Offer and move on. Don't pressure. Don't auto-capture.

What it can do on your machine

Read from SKILL.md and the folder at commit 589f13e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Source Command Opsx Explore loads about 1.6k tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 737 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zhe-qi/clhoria-template at commit 589f13e, republished under its MIT licence (© zhe-qi). 737 words, ~1,565 tokens.

Download SKILL.mdSave it as .claude/skills/source-command-opsx-explore/SKILL.md (or your agent's skills folder).
name
source-command-opsx-explore
description
Enter explore mode - think through ideas, investigate problems, clarify requirements

source-command-opsx-explore

Use this skill when the user asks to run the migrated source command opsx-explore.

Command Template

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.

Input: The argument after /opsx:explore is whatever the user wants to think about. Could be:

  • A vague idea: "real-time collaboration"
  • A specific problem: "the auth system is getting unwieldy"
  • A change name: "add-dark-mode" (to explore in context of that change)
  • A comparison: "postgres vs sqlite for this"
  • Nothing (just enter explore mode)

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

If the user mentioned a specific change name, read its artifacts for context.

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
Show full SKILL.md (309 more words)Show less
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)

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 things crystallize, you might offer a summary - but it's 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

© zhe-qi, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/source-command-opsx-explore of zhe-qi/clhoria-template.

Open the folder on GitHubat commit 589f13e

Compare with similar skills

Source Command Opsx Explore next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Source Command Opsx Explore compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Source Command Opsx Explore this skillzhe-qi/clhoria-template193—~1.6kAutomated safety check: PassMIT
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills103k6 repos~3.8kAutomated safety check: PassMIT
Grillingpietheinstrengholt/rssmonster56432 repos~510Automated safety check: PassMIT
Agentic Workflow Designerdotnet/Open-XML-SDK4.6k2 repos~3.5kAutomated safety check: PassMIT
Ask User QuestionMemTensor/MemOS12k—~1kAutomated safety check: PassApache-2.0

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Categories

Questions about Source Command Opsx Explore

What does Source Command Opsx Explore do?

Enter explore mode - think through ideas, investigate problems, clarify requirements. Source Command Opsx Explore is an agent skill from zhe-qi/clhoria-template.

When should I use Source Command Opsx Explore?

Source Command Opsx Explore fits situations like: tasks that involve Requirements gathering.

How do I install Source Command Opsx Explore in Claude Code?

Run `npx skills add zhe-qi/clhoria-template --skill source-command-opsx-explore -a claude-code`. Or copy the skill folder (.agents/skills/source-command-opsx-explore in zhe-qi/clhoria-template) into .claude/skills/source-command-opsx-explore in your project. Claude Code loads it when a task matches its description.

How do I install Source Command Opsx Explore in Codex?

Run `npx skills add zhe-qi/clhoria-template --skill source-command-opsx-explore -a codex`. Or copy the skill folder (.agents/skills/source-command-opsx-explore in zhe-qi/clhoria-template) into .agents/skills/source-command-opsx-explore in your project. Codex loads it when a task matches its description.

Can I use Source Command Opsx Explore in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zhe-qi/clhoria-template --skill source-command-opsx-explore -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/source-command-opsx-explore, .gemini/skills/source-command-opsx-explore, .github/skills/source-command-opsx-explore and .opencode/skills/source-command-opsx-explore in your project.

What does Source Command Opsx Explore need to run?

SKILL.md names no scripts, command-line tools or credentials: Source Command Opsx Explore is instructions for the agent only.

Does Source Command Opsx Explore access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Source Command Opsx Explore safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Source Command Opsx Explore use?

Source Command Opsx Explore is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Source Command Opsx Explore use?

About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Source Command Opsx Explore?

Skills that share tags, products or a category with Source Command Opsx Explore: Using Superpowers (farm-fe/farm, 5.6k stars), Interview Me (addyosmani/agent-skills, 103k stars), Grilling (pietheinstrengholt/rssmonster, 564 stars) and Agentic Workflow Designer (dotnet/Open-XML-SDK, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Source Command Opsx Explore?

zhe-qi (a GitHub user) maintains it in zhe-qi/clhoria-template, which has 193 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on July 30, 2026.

Source: zhe-qi/clhoria-template on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.