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by-design-workflow

Design Verified v1.0
Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network
Domain
Design
Compatible agents
  • Claude Code
  • Cursor
  • Cline
  • Codex
  • Windsurf
  • Gemini CLI
  • +20
Trust score
92 / 100 · audit passed
Author / version / license
@001TMF · v1.0 · no license declared
Token usage
Heavy
Setup complexity
Guided setup
External API key
Not required
Operating systems
Unspecified (assume cross-platform)
Runtime requirements
Python
Permissions
  • Read-only
  • Write / modify
Network behavior
Local-only
Install commands
26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools，默认拥有全部工具权限。

Output preview by-design-workflow.preview 
---
name: by-design-workflow
description: Instead, it answers four questions before any GPU compute is committed: This skill encodes the c…
category: design
runtime: Python
---

# by-design-workflow output preview

## PART A: Task fit
- Use case: Instead, it answers four questions before any GPU compute is committed: This skill encodes the canonical decision tree, the modality → tool mapping, the preset comparison, the quality thresholds, and the accept-vs-re-run heuristics that other skills depend on. It is the connective tissue between by-research / by-campaign-manager (upstream) and the three t….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “When to Use This Skill / Inputs / Outputs” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Instead, it answers four questions before any GPU compute is committed: This skill encodes the canonical decision tree, the modality → tool mapping, the preset comparison, the quality thresholds, and the accept-vs-re-run heuristics that other skills depend on. It is the connective tissue between by-research / by-campaign-manager (upstream) and the three t…”.
- **02** When the source has headings, the agent prioritizes “When to Use This Skill / Inputs / Outputs” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.

## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: Instead, it answers four questions before any GPU compute is committed: This skill encodes the canonical decision tree, the moda…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “When to Use This Skill”, “Inputs”, “Outputs”, “Clarification Questions”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name by-design-workflow directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “When to Use This Skill / Inputs / Outputs” before expanding.

Boundaries And Review

  • Dependencies: It usually needs no extra API key, so start with a small validation task.
  • Permissions: Declared permissions include read / write; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Discussion

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