asa-workflow-trace-builder
Use when reconstructing how a skill converts user intent into outputs through ordered steps, resources, and evidence.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Use when reconstructing how a skill converts user intent into outputs through ordered steps, resources, and evidence.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Demonstrates the Agent Skill Anatomy harness with a tiny local skill.
Use when selecting and composing skill anchors into a chosen reuse form without assuming a full workflow is required.
Use when auditing whether a skill decomposition is evidence-grounded, over-inference-safe, and publishable.
Use when comparing multiple model outputs for the same skill decomposition task across quality, omissions, and fit.
Use when turning structured skill decomposition artifacts into beginner, expert, report, or Obsidian reading layers.
Use when explaining what each file, script, reference, asset, or template does inside a skill package.
| name | asa-workflow-trace-builder |
| description | Use when reconstructing how a skill converts user intent into outputs through ordered steps, resources, and evidence. |
| internal_meta_skill | true |
| asa_role | workflow_analyst |
| output_contract | workflow_analysis.workflow_trace + letuen.workflow_anchors |
Use this internal meta-skill when a model must reconstruct a skill workflow from user request to final delivery.
This skill fixes the failure mode where workflow analysis becomes a vague list of actions without inputs, outputs, resource usage, actor responsibility, evidence, or reusable workflow anchors.
SKILL.md ordered steps, headings, rules, warnings, and output instructions.Return workflow trace content suitable for workflow_analysis.json:
workflow_trace:
summary:
zh:
en:
pipeline: []
steps:
- id:
name:
zh:
en:
input:
action:
output:
actor: model | script | human | external_tool | unknown
resources: []
downstream:
confidence: high | medium | low | unknown
inferred: true | false
evidence: []
decision_points: []
verification_points: []
failure_modes: []
anchors:
workflow_anchor:
- id:
name:
description:
source_steps: []
reusable_as: prompt_patch | checklist | mini_skill | workflow_module | reference_pattern
required_inputs: []
produced_outputs: []
dependencies: []
confidence: high | medium | low | unknown
evidence: []
handoff_anchor:
- id:
from_step:
to_step:
handoff_object:
contract:
failure_if_missing:
confidence: high | medium | low | unknown
evidence: []
replaceable_step_anchor:
- id:
step_id:
replace_with:
safe_when:
unsafe_when:
user_control: keep_original | choose_alternative | remove | defer
confidence: high | medium | low | unknown
evidence: []
validation_step_anchor:
- id:
step_id:
validation_target:
pass_signal:
fail_signal:
repair_action:
confidence: high | medium | low | unknown
evidence: []
output_transition_anchor:
- id:
from_output:
to_surface:
transformation:
preserves: []
risks: []
confidence: high | medium | low | unknown
evidence: []
Emit anchors only when they help a user borrow, recombine, or simplify the workflow without copying the whole skill.
workflow_anchor: a reusable chain of two or more steps with clear inputs and outputs.handoff_anchor: a transition contract where one step hands a concrete object to another step.replaceable_step_anchor: a step that can be swapped, skipped, or delegated without breaking the whole method.validation_step_anchor: a verification gate that can be reused as a quality rule.output_transition_anchor: a conversion from analysis output into a reader, report, Obsidian, repo, UI, or other surface.Each anchor must include source step ids, evidence, confidence, and user-control guidance when replacement is possible. Do not force anchors into a solidified workflow; anchors may remain standalone notes, temporary compositions, or optional modules.
inferred: true.A strong workflow trace lets a reader answer: