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skill-share

Other Verified
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
94 / 100 · audit passed
Author / version / license
@Microck · Complete terms in LICENSE.txt
Token usage
Lean
Setup complexity
Plug-and-play
External API key
Not required
Operating systems
Unspecified (assume cross-platform)
Runtime requirements
Python >=3.7
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 skill-share-microck.preview 
---
name: skill-share
description: A skill that creates new Claude skills and automatically shares them on Slack using Rube for sea…
category: other
runtime: Python
---

# skill-share output preview

## PART A: Task fit
- Use case: A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery. Use this skill when you need to: Also use this skill when: This skill is ideal for: When you ask Claude to create a skill called "pdf-analyzer": This skill leverages Rube for: runs entirely locally; runs on Python >….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “When to use this skill / Key Features / 1. Skill Creation” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery. Use this skill when you need to: Also use this skill when: This skill is ideal for: When you ask Claude to create a skill called "pdf-analyzer": This skill leverages Rube for: runs entirely locally; runs on Python >…”.
- **02** When the source has headings, the agent prioritizes “When to use this skill / Key Features / 1. Skill Creation” 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: A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and ski…
  • 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”, “Key Features”, “1. Skill Creation”, “2. Skill Validation”, 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 skill-share 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 / Key Features / 1. Skill Creation” 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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