start-app

DevOps Community
Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network
Domain
DevOps
Compatible agents
  • Claude Code
  • Cursor
  • Cline
  • Codex
  • Windsurf
  • Gemini CLI
  • +20
Trust score
88 / 100 · community maintained
Author / version / license
@aberrantCode · no license declared
Token usage
Heavy
Setup complexity
Manual integration
External API key
Required · Vendor-specific
Operating systems
Windows · Docker
Runtime requirements
Node.js · Python · Docker
Permissions
  • Read-only
  • Write / modify
  • Shell exec
  • Env read
Network behavior
External requests
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 start-app-aberrantcode.preview
---
name: start-app
description: Start any type of modern application — web apps, APIs, full-stack projects, Docker-based stacks…
category: devops
runtime: Node.js / Python / Docker
---

# start-app output preview

## PART A: Task fit
- Use case: Start any type of modern application — web apps, APIs, full-stack projects, Docker-based stacks, microservices, and more. Use this skill whenever the user wants to run, launch, start, execute, or spin up an application or service. Trigger it even when the user says "start the app", "run it", "boot it up", "kick it off", "get it running", "spin it up", or any similar phrase. Also trigger when the user asks how to run the project, which command starts the UI, how to get the dev environment going, or when a prompt includes a technology name alongside a run/start intent (e.g. "start the Next.js app", "run the FastAPI server", "launch the Docker stack")..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Step 0 — Check the Intelligence Cache / Decide the mode / Mode 1 — Use (fast path)” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Start any type of modern application — web apps, APIs, full-stack projects, Docker-based stacks, microservices, and more. Use this skill whenever the user wants to run, launch, start, execute, or spin up an application or service. Trigger it even when the user says "start the app", "run it", "boot it up", "kick it off", "get it running", "spin it up", or any similar phrase. Also trigger when the user asks how to run the project, which command starts the UI, how to get the dev environment going, or when a prompt includes a technology name alongside a run/start intent (e.g. "start the Next.js app", "run the FastAPI server", "launch the Docker stack").”.
- **02** When the source has headings, the agent prioritizes “Step 0 — Check the Intelligence Cache / Decide the mode / Mode 1 — Use (fast path)” 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, run shell commands, read environment variables; may access external network resources; requires Vendor-specific API keys.

## Running Rules
- read files, write/modify files, run shell commands, read environment variables; may access external network resources; requires Vendor-specific API keys.
- 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: Start any type of modern application — web apps, APIs, full-stack projects, Docker-based stacks, microservices, and more. Use th…
  • 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 “Step 0 — Check the Intelligence Cache”, “Decide the mode”, “Mode 1 — Use (fast path)”, “Mode 2 — Generate”, 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 start-app 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 “Step 0 — Check the Intelligence Cache / Decide the mode / Mode 1 — Use (fast path)” before expanding.

Boundaries And Review

  • Dependencies: Prepare Vendor-specific API keys before running a full task.
  • Permissions: Declared permissions include read / write / shell-exec / env-read; 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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