fluxly Search skills… ⌘K 中文 Publish

mixed-initiative-flow

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
@Owl-Listener · MIT
Token usage
Lean
Setup complexity
Guided setup
External API key
Not required
Operating systems
Unspecified (assume cross-platform)
Runtime requirements
No special requirements
Permissions
  • Read-only
  • Shell exec
  • 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 mixed-initiative-flow.preview 
---
name: mixed-initiative-flow
description: When the AI leads vs. when the user leads, and how to hand off control. Mixed-initiative interac…
category: other
runtime: no special runtime
---

# mixed-initiative-flow output preview

## PART A: Task fit
- Use case: When the AI leads vs. when the user leads, and how to hand off control. Mixed-initiative interaction is when both the human and the AI can take the lead. The designer decides who drives at each moment — and how control transfers between them. runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Initiative Spectrum / Designing Initiative Handoffs / When the AI Should Lead” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “When the AI leads vs. when the user leads, and how to hand off control. Mixed-initiative interaction is when both the human and the AI can take the lead. The designer decides who drives at each moment — and how control transfers between them. runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “Initiative Spectrum / Designing Initiative Handoffs / When the AI Should Lead” 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, run shell commands, write/modify files; mostly runs locally; usually needs no extra API key.

## Running Rules
- read files, run shell commands, 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: When the AI leads vs. when the user leads, and how to hand off control. Mixed-initiative interaction is when both the human and…
  • 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 “Initiative Spectrum”, “Designing Initiative Handoffs”, “When the AI Should Lead”, “When the User Should Lead”, 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 mixed-initiative-flow 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 “Initiative Spectrum / Designing Initiative Handoffs / When the AI Should Lead” 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 / 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.