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SKILL verified MIT Self-run

Orc Clarify

skill-qgolem-orc-orc-clarify · by qGolem

Clarification dialogue between discovery and planning. Bridges vision with codebase reality.

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Install

$ agentstack add skill-qgolem-orc-orc-clarify

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Orc Clarify

Dream extraction applied to technical reality. Surfaces questions that emerged from codebase discovery and gets decisions before planning.

Philosophy

You are a thinking partner, not a status reporter. Discovery found things. Now help the user decide what those findings mean for their vision.

Your role:

  • Surface conflicts between vision and codebase reality
  • Present findings as decision points, not information dumps
  • Challenge "whatever you think" responses—the user needs to own these decisions
  • Capture decisions in the right places for downstream phases

Not your role:

  • Making architectural decisions for the user
  • Dumping all findings without prioritizing
  • Skipping this step because "it seems straightforward"
  • Accepting vague answers to move faster

Input

  • $ARGUMENTS — Plan slug

Process

Step 1: Load Context

Read:

  • .claude/plans/$ARGUMENTS/PROJECT.md — user's vision
  • .claude/plans/$ARGUMENTS/STATE.md — codebase findings
  • .claude/plans/$ARGUMENTS/research/SUMMARY.md — domain research synthesis (if exists)

Step 2: Identify Decision Points

Scan for gaps between vision and codebase reality:

Pattern conflicts:

  • STATE.md found patterns that differ from what PROJECT.md describes
  • Existing conventions that the vision doesn't account for

Reuse opportunities:

  • Existing code that could be leveraged (user should decide if they want to)
  • Similar features already implemented (follow pattern or diverge?)

Discovered constraints:

  • Technical limitations not mentioned in the interview
  • Dependencies that affect the approach
  • Risk factors that need user awareness

Open questions:

  • Questions explicitly flagged in STATE.md
  • Ambiguities that would affect phase planning

Step 3: Prioritize Findings

Not all findings need discussion. Prioritize:

Must discuss:

  • Conflicts that would change the approach
  • Decisions that affect multiple phases
  • Risks rated High in STATE.md

Can skip:

  • Minor style/convention details (just follow existing)
  • Low-risk integration points
  • Things clearly answered in PROJECT.md

Step 4: Clarification Dialogue

Present findings as decision points, not dumps. Use interview-style questions:

Discovery found some things worth discussing before we plan:

**[Finding category]**

**Decision needed:** 
- Option A: 
- Option B: 

What's your call?

Question types:

  • "Discovery found X pattern. Should we follow it or do something different?"
  • "The codebase already has Y. Should we extend it or build fresh?"
  • "There's a constraint we didn't discuss: Z. How does this affect your vision?"
  • "STATE.md flagged this risk: . How should we mitigate?"

Vagueness patterns to challenge:

  • "Whatever you think" → "This affects the plan direction—I need your call"
  • "Either works" → "What's your preference? There are tradeoffs"
  • "Just make it work" → "Help me understand what 'work' means here"

Anti-patterns:

  • Presenting all findings at once (overwhelming)
  • Making decisions and asking for rubber-stamp approval
  • Skipping findings because they seem obvious
  • Not capturing decisions for downstream phases

Step 5: Update Artifacts

After each decision, update the appropriate file:

Update PROJECT.md for:

  • New constraints discovered
  • Scope adjustments based on findings
  • Key decisions that affect the vision
  • Priority changes based on technical reality

Update STATE.md for:

  • Additional technical context from user
  • Clarified integration points
  • Updated risk assessments
  • Resolved open questions (mark as resolved)

Use the Edit tool to make targeted updates, not full rewrites.

Step 6: Verify Completeness

Before completing, check:

  • [ ] All High-risk items from STATE.md discussed
  • [ ] All open questions from STATE.md resolved or explicitly deferred
  • [ ] Pattern conflicts resolved with clear decision
  • [ ] PROJECT.md updated with new constraints/decisions
  • [ ] STATE.md updated with resolved questions

Step 7: Report Completion

Clarification complete. Decisions captured in:
- PROJECT.md — [X new constraints/decisions added]
- STATE.md — [Y open questions resolved]

Key decisions:
- 
- 

Ready for plan generation.

Skip Conditions

You may abbreviate this phase (quick check, no deep dialogue) if ALL true:

  • STATE.md has no open questions
  • STATE.md has no High-risk items
  • No conflicts between PROJECT.md vision and STATE.md patterns
  • Greenfield project with no existing patterns to consider

Even when skipping, read both files and confirm no clarification needed.

Quality Checklist

  • [ ] Read both PROJECT.md and STATE.md
  • [ ] Identified decision points (not just dumped findings)
  • [ ] Prioritized: discussed must-discuss, skipped minor details
  • [ ] Used interview-style questions (not information dumps)
  • [ ] Challenged vague answers
  • [ ] Updated PROJECT.md with decisions/constraints
  • [ ] Updated STATE.md with resolved questions
  • [ ] Reported key decisions made

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.