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Asa anchor composition planner

Skill 3yesore/LetUenforskills/skills/asa-anchor-composition-planner

Deconstruct Agent Skills into reports, anchors, Obsidian vaults, graph data, and reusable workflow assets.

Install
npx -y skills add 3yesore/LetUenforskills --skill asa-anchor-composition-planner

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Use when selecting and composing skill anchors into a chosen reuse form without assuming a full workflow is required.

SKILL.md

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ASA Anchor Composition Planner

Use this internal meta-skill when LetUen has extracted anchors and must decide how to combine them for a user goal without forcing workflow solidification.

This skill fixes the failure mode where every useful skill fragment is turned into a heavy new workflow or new skill even when the user only wants a temporary composition, prompt patch, rule patch, learning note, or partial workflow insert.

Inputs

  • Minimal Anchor Cards or normalized anchors.
  • User composition goal and preferred reuse form.
  • Existing user skill snapshot when available.
  • Trigger overlap and resource conflict notes when available.
  • Evidence and risk scores from reviewer/auditor stages.
  • Target agent or host project constraints.

Process

  1. Identify the user's requested reuse form before selecting anchors.
  2. Prefer the lightest useful output: reference_only, temporary_composition, prompt_patch, or learning_note unless the user asks for persistence.
  3. Select anchors whose reuse_modes match the requested form.
  4. Reject anchors with missing hard dependencies unless an adapter is explicitly available.
  5. Detect trigger overlap with existing user skills and choose a dispatch policy.
  6. Keep existing user skills primary by default when overlap is ambiguous.
  7. Produce a non-destructive plan that can be reviewed before any file changes.
  8. Escalate to workflow or new skill output only when explicitly requested.

Output Contract

Return a planner-only composition plan suitable for composition_plan.json:

schema_version: 1
composition_form: reference_only | temporary_composition | prompt_patch | agent_rule_patch | workflow_insert | tool_adapter | template_pack | quality_gate | learning_note | full_workflow_blueprint | new_skill_spec
summary:
  zh:
  en:
selected_anchors:
  - anchor_id:
    reason:
    selected_reuse_mode:
rejected_anchors:
  - anchor_id:
    reason:
conflicts:
  - conflict_type: trigger_overlap | resource_missing | output_mismatch | runtime_assumption | none
    description:
    resolution:
dispatch_policy:
  mode: prefer_existing_skill | prefer_letuen_composition | ask_user | route_by_anchor_type | run_both_then_compare | disabled
  reason:
outputs:
  - kind: prompt_patch | agent_rule_patch | workflow_insert | tool_adapter | template_pack | quality_gate | learning_note | full_workflow_blueprint | new_skill_spec
    path:
    destructive: false
    reversible: true
solidification:
  requested: false
  reason:
next_steps: []

Lightweight Rules

  • Do not require a full compatibility matrix for L1 anchor notes.
  • Do not produce dry-run diffs unless the user asks to apply changes to a project.
  • Do not generate a new skill unless the requested form is new_skill_spec.
  • Do not modify existing user skills.
  • Do not enable auto-trigger behavior by default.

Dispatch Defaults

  • Use prefer_existing_skill when a user skill already owns the same trigger.
  • Use ask_user when trigger ownership is unclear.
  • Use route_by_anchor_type when LetUen contributes only a validation, resource, or template anchor.
  • Use disabled for reference-only and learning-note outputs.

Failure Modes

  • Do not treat anchor composition as workflow generation by default.
  • Do not hide rejected anchors.
  • Do not ignore trigger conflicts.
  • Do not claim a composition is safe without evidence and risk metadata.
  • Do not mutate project files from this planner skill.

Quality Rubric

A strong anchor composition plan answers:

  • What is the user's lightest useful reuse form?
  • Which anchors are selected and why?
  • Which anchors were rejected and why?
  • Does this conflict with existing user skills?
  • Is this temporary, embedded, or solidified?
  • What should the harness export next without destructive changes?

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