skills-vote-local
- Repo stars 255
- Author updated Live
- Author repo skills-vote
- Domain
- Engineering
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @MemTensor · 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。
---
name: skills-vote-local
description: Use when retrieving the most relevant skills from a local or private skill library instead of re…
category: engineering
runtime: no special runtime
---
# skills-vote-local output preview
## PART A: Task fit
- Use case: Use when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill discovery. Read only this file first. Do not read scripts/, docs/, or any other files in this skill unless this file or a script output explicitly tells you to do so. runs entirely locally. Works with Claude Code, Cursor, Cline and ….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Decide Fit First / Design Intent / How To Use It” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Use when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill discovery. Read only this file first. Do not read scripts/, docs/, or any other files in this skill unless this file or a script output explicitly tells you to do so. runs entirely locally. Works with Claude Code, Cursor, Cline and …”.
- **02** When the source has headings, the agent prioritizes “Decide Fit First / Design Intent / How To Use It” 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. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “Decide Fit First / Design Intent / How To Use It”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: skills-vote-local
description: Use when retrieving the most relevant skills from a local or private skill library instead of re…
category: engineering
source: MemTensor/skills-vote
---
# skills-vote-local
## When to use
- Use when retrieving the most relevant skills from a local or private skill library instead of relying on network-based…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Decide Fit First / Design Intent / How To Use It” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "skills-vote-local" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Decide Fit First / Design Intent / How To Use It
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} Skills Vote Local
Read only this file first. Do not read scripts/, docs/, or any other files in this skill unless this file or a script output explicitly tells you to do so.
Use this skill when the current task needs skill discovery from a local or private skill library instead of a network service.
All paths mentioned in this file are relative to this skill root. cd to this root directory before running any command here.
Run:
uv run -qq scripts/route_prompt.py --role main
Then follow the rendered stdout exactly.
If routing.mode selects a subagent route, the user configuration explicitly requests subagent-based skill lookup. The main agent should use subagent delegation when the current host/tooling permits it.
Do not use fallback merely because the current user message did not repeat "use subagent".
If the current host, tool policy, runtime, or authorization model cannot create a subagent in this turn, run:
uv run -qq scripts/route_prompt.py --role main --fallback
Then follow the fallback stdout exactly.
If you are a subagent and you read this file directly, do not run this command with --role main. Run:
uv run -qq scripts/route_prompt.py --role subagent
Then follow the rendered stdout exactly.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review