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Intent Align

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Intent-alignment orchestration for OpenClaw agent teams across diverse host environments. Use when work must stay anchored to user goals while allowing flexi...

What it does

Keep execution aligned to user intent while preserving agent autonomy.

The skill document

Intent-Align v2 Core

Keep execution aligned to user intent while preserving agent autonomy.

Quick Start

  1. Read references/core-contract.md.
  2. Create alignment hub from references/alignment-hub-template.md.
  3. Run Intent Quality Gate before planning.
  4. Select adapters from references/adapters/.
  5. Execute phases with realignment and verification gates.

Workflow Contract

  1. Build intent_snapshot and run intent_lint (see core contract).
  2. Ask for strictness mode and scope overrides (project/repo/workflow/task).
  3. Resolve effective strictness by precedence: task > workflow > repo > project > default.
  4. Evaluate ambiguity action using severity + strictness + risk class.
  5. Generate phase plan and Mermaid diagram with explicit dependencies and gates.
  6. Bind available adapters through capability_matrix.
  7. Execute phase-by-phase.
  8. Before phase start, run Pre-Execution Clarification Gate.
  9. On each phase end, run verification gates (including output conformance) and update drift evidence.
  10. If intent or constraints change, apply intent_delta and re-plan only impacted phases.
  11. Close with final alignment report and open ambiguity list (if any).

Autonomy Levels

  • 1 Strict: Require user confirmation before each phase start.
  • 2 Balanced: Require user confirmation at phase end or any critical drift.
  • 3 Aggressive: Auto-continue on low drift; require confirmation on major deltas.
  • 4 Exploratory: Continue with log-only check-ins unless risk or ambiguity threshold is exceeded.

Override rule: high-risk ambiguity is never advisory-only; enforce at least soft_gate. Strictness rule: strictness mode controls whether ambiguities block or proceed with guardrails.

Required References

  • references/core-contract.md
  • references/alignment-hub-template.md
  • references/realignment-protocol.md
  • references/verification-gates.md
  • references/capability-taxonomy.md

Adapter Selection

Use only adapters needed for the task:

  • references/adapters/github.md
  • references/adapters/local-repo.md
  • references/adapters/tracker-generic.md
  • references/adapters/adapter-template.md

If no adapter can satisfy a required capability:

  1. Generate an ad-hoc adapter spec from adapter-template.md.
  2. Add provenance metadata (created_by, created_at, environment_assumptions, tool_access_required).
  3. Validate required fields before use.
  4. Register the new adapter in capability_matrix.adapters_selected.
  5. Continue in degraded mode only if validation fails or auth/capability remains unavailable.

Anti-Bloat Rules

  • Keep core contract tool-agnostic.
  • Do not add tracker- or host-specific logic to core files.
  • Add a new adapter only for a proven capability gap.
  • Keep schemas single-source; do not duplicate fields across files.
  • Tie each new feature to one concrete failure mode and one test scenario.
  • Generate ad-hoc adapters only for current task scope; do not pre-generate broad catalogs.
  • Use canonical capability IDs first; extend only when needed via namespaced custom IDs.

Edge Cases

  • Multi-repo: maintain one hub with per-repo adapter bindings and dependency graph.
  • Non-git prototype: use local artifacts and explicit acceptance criteria checkpoints.
  • Team swarm: assign owner per phase and keep decision log in hub.

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