KS
Killer-Skills

implementation-runner — how to use implementation-runner how to use implementation-runner, implementation-runner setup guide, implementation-runner alternative, implementation-runner vs other skills, implementation-runner install, automated code implementation, yaml patch generation, repository file analysis

v1.0.0
GitHub

About this Skill

Ideal for Code Analysis Agents requiring automated implementation and workflow streamlining capabilities. implementation-runner is a skill that automates code implementation by checking requirements, defining change scope, and recording changes in repository files.

Features

Analyzes user messages via `analysisContext.request.userMessage`
Defines change scope based on `analysisContext.decisions.skillChain`
Records changed files in `repo.changedFiles`
Updates implementation completion in `analysisContext`
Generates patch output in YAML format

# Core Topics

munlucky munlucky
[0]
[0]
Updated: 3/6/2026

Quality Score

Top 5%
51
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add munlucky/mirae-financial-aicc/implementation-runner

Agent Capability Analysis

The implementation-runner MCP Server by munlucky is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use implementation-runner, implementation-runner setup guide, implementation-runner alternative.

Ideal Agent Persona

Ideal for Code Analysis Agents requiring automated implementation and workflow streamlining capabilities.

Core Value

Empowers agents to automate code implementation by analyzing user messages and repository files, utilizing context from artifacts like contextDocPath, and updating the analysisContext with implementation completion and changed files.

Capabilities Granted for implementation-runner MCP Server

Automating code changes based on user requests
Streamlining developer workflow by analyzing repository files
Recording and summarizing key changes in implementation

! Prerequisites & Limits

  • Requires access to analysisContext and repository files
  • Needs userMessage and skillChain context for decision-making
Project
SKILL.md
659 B
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

Implementation Runner

Inputs

  • analysisContext.request.userMessage
  • analysisContext.decisions.skillChain
  • analysisContext.repo.openFiles
  • analysisContext.artifacts.contextDocPath (if present)

Procedure

  1. Check requirements and context.
  2. Define change scope and implement.
  3. Record changed files and key change summary.
  4. Update implementation completion in analysisContext.

Output (patch)

yaml
1signals.implementationComplete: true 2repo.changedFiles: 3 - src/... 4notes: 5 - "implementation: complete, changed_files=3"

Rules

  • Do not call other skills/subagents.
  • If failed or deferred, record the reason in notes.

Related Skills

Looking for an alternative to implementation-runner or building a Categories.community AI Agent? Explore these related open-source MCP Servers.

View All

widget-generator

Logo of f
f

widget-generator is an open-source AI agent skill for creating widget plugins that are injected into prompt feeds on prompts.chat. It supports two rendering modes: standard prompt widgets using default PromptCard styling and custom render widgets built as full React components.

149.6k
0
Design

chat-sdk

Logo of lobehub
lobehub

chat-sdk is a unified TypeScript SDK for building chat bots across multiple platforms, providing a single interface for deploying bot logic.

73.0k
0
Communication

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication