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llm-wiki-setup

AI Community
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: 帮用户搭一个金融投研专用 LLM Wiki（Karpathy 模式）：纯 markdown 文件 + [[wikilink]] 互联 + LLM 维护，知识随用复利。 两个投资者看同一家公司，关注点可能完全不同——一个看「下季度订单能否超市场预期」，另一个…
  • 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 “★ 先读这一条（这个 skill 的灵魂）”, “不碰的红线（Karpathy 原意，别 over-engineer）”, “机制层 vs 规则层（贯穿全程的区分）”, “工作流”, 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 llm-wiki-setup 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 “★ 先读这一条（这个 skill 的灵魂） / 不碰的红线（Karpathy 原意，别 over-engineer） / 机制层 vs 规则层（贯穿全程的区分）” 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 / shell-exec; 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.
Fluxly profile Author and license come from source; runtime, permissions, and network are Fluxly detections or estimates
Fluxly category
AI
Author-declared agents
No explicit declaration found; this is not inferred or tested compatibility
Static check
88 / 100 · heuristic scan, not runtime safety proof
Author / version / license
@daymade · no license declared
Fluxly token estimate
Lean
Fluxly setup estimate
Guided setup
External API key
No requirement detected
Detected OS requirements
Unspecified
Runtime requirements
Python
Detected file/system behavior
  • Read-only
  • Shell exec
Detected network behavior
Local-only
Install commands
None (reference only)

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 llm-wiki-setup.preview 
The current SKILL.md does not define a fixed output example.

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