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 competitor skills, implementation-runner install, what is implementation-runner, automated implementation for AI agents, analysisContext implementation, repo data implementation

v1.0.0
GitHub

About this Skill

Ideal for Development Agents requiring automated implementation and change management capabilities. implementation-runner is a skill that automates the implementation process for AI agents, using inputs like analysisContext and repo data to define and record changes

Features

Checks requirements and context using analysisContext.request.userMessage
Defines change scope and implements changes based on analysisContext.decisions.skillChain
Records changed files and key change summary in repo.changedFiles
Updates implementation completion in analysisContext
Utilizes repo.openFiles and analysisContext.artifacts.contextDocPath for context-aware implementation

# Core Topics

how to use implementation-runner implementation-runner setup guide implementation-runner alternative implementation-runner vs competitor skills implementation-runner install what is implementation-runner
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/moon-bot/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 Development Agents requiring automated implementation and change management capabilities.

Core Value

Empowers agents to streamline implementation processes by checking requirements, defining change scope, and recording changes, utilizing context from user messages, skill chains, and repository files, while updating implementation completion in analysisContext.

↓ Capabilities Granted for implementation-runner MCP Server

Automating implementation for AI agent integrations
Defining and managing change scope for repository updates
Recording and tracking changes to repository files

! Prerequisites & Limits

  • Requires access to analysisContext and repository files
  • Dependent on userMessage and skillChain inputs
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