discover
Discover
Meta — Conversational. Transform vague ideas into shared clarity through adaptive conversation.
Core Philosophy: "Just talk with your agent." Close the gap between stated requirements and true needs through conversation — not documents, formal phases, or plan mode.
Core Question: "What would we silently get wrong if we just started building?"
How It Works
- You describe what you want
- The agent scans context and assesses complexity (silently)
- Questions begin — adaptive to what's needed
- Conversation continues until mutual clarity
- Build directly, or save a spec/contract if needed
No plan mode. No pipeline stages. No mandatory artifacts. The conversation IS the alignment.
More from hungv47/meta-skills
task-breakdown
Decomposes a spec or architecture into buildable tasks with acceptance criteria, dependencies, and implementation order for AI agents or engineers. Produces `skills-resources/meta/tasks.md`. Not for clarifying unclear requirements (use discover) or designing architecture (use system-architecture). For code quality checks after building, see fresh-eyes.
80agent-room
Multi-agent discussion rooms — debate or poll a problem from multiple perspectives. Standalone or invoked by other skills as a sub-routine. Mode=debate: N agents argue in rounds, converge. Mode=poll: N agents independently analyze, aggregate by consensus. Not for implementation (use system-architecture). Not for verification (use review-chain). For clarifying requirements first, see discover. For decomposing work after a decision, see task-breakdown.
67review-chain
Post-implementation quality check via fresh-eyes review. Chain: Implement → Review (independent agent) → Resolve (if issues). Max 2 rounds. Auto-triggers for security-sensitive and data-mutation code. Not for code refactoring (use code-cleanup). Not for decision analysis (use agent-room).
61navigate
Artifact status + multi-phase orchestration. Scan what exists, check freshness, compose and track complex workflows across sessions. Not for skill routing (the agent does that proactively).
57fresh-eyes
Post-implementation quality check via fresh-eyes review. Chain: Implement → Review (independent agent) → Resolve (if issues). Max 2 rounds. Auto-triggers for security-sensitive and data-mutation code. Not for code refactoring (use code-cleanup). Not for decision analysis (use agents-panel).
17agents-panel
Multi-agent discussion rooms — debate or poll a problem from multiple perspectives. Standalone or invoked by other skills as a sub-routine. Mode=debate: N agents argue in rounds, converge. Mode=poll: N agents independently analyze, aggregate by consensus. Not for implementation (use system-architecture). Not for verification (use fresh-eyes). For clarifying requirements first, see discover. For decomposing work after a decision, see task-breakdown.
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