fluxly Search skills… ⌘K 中文 Publish

learning-companion

Other Verified v1.0.0
Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network
Domain
Other
Compatible agents
  • Claude Code
  • Cursor
  • Cline
  • Codex
  • Windsurf
  • Gemini CLI
  • +20
Trust score
92 / 100 · audit passed
Author / version / license
@312362115 · v1.0.0 · no license declared
Token usage
Lean
Setup complexity
Plug-and-play
External API key
Not required
Operating systems
Unspecified (assume cross-platform)
Runtime requirements
No special requirements
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 learning-companion.preview 
---
name: learning-companion
description: > |------|-----------| | 你已经会什么？ | 用已知类比未知。"你懂 Express？那 Fastify 就像是..." | | 学习目的 | 了解概念 vs 准备上手…
category: other
runtime: no special runtime
---

# learning-companion output preview

## PART A: Task fit
- Use case: > |------|-----------| | 你已经会什么？ | 用已知类比未知。"你懂 Express？那 Fastify 就像是..." | | 学习目的 | 了解概念 vs 准备上手 vs 准备分享，深度完全不同 | | 期望形式 | 要简短概括还是完整教程？ | 根据学习内容和用户背景，选择最合适的方式： runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “第一步：了解学习者 / 第二步：选择教学策略 / 第三步：组织内容” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “> |------|-----------| | 你已经会什么？ | 用已知类比未知。"你懂 Express？那 Fastify 就像是..." | | 学习目的 | 了解概念 vs 准备上手 vs 准备分享，深度完全不同 | | 期望形式 | 要简短概括还是完整教程？ | 根据学习内容和用户背景，选择最合适的方式： runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “第一步：了解学习者 / 第二步：选择教学策略 / 第三步：组织内容” 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: > |------|-----------| | 你已经会什么？ | 用已知类比未知。"你懂 Express？那 Fastify 就像是..." | | 学习目的 | 了解概念 vs 准备上手 vs 准备分享，深度完全不同 | | 期望形式 | 要简短概括…
  • 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 “第一步：了解学习者”, “第二步：选择教学策略”, “第三步：组织内容”, “3.1 概念解释结构”, 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 learning-companion 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 “第一步：了解学习者 / 第二步：选择教学策略 / 第三步：组织内容” 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

Powered by GitHub Discussions. Sign in with GitHub to comment, react, or subscribe.