A local-first GitHub workflow skill for Openclaw Skills that turns bug reports, issues, and PR tasks into clear, verified, actionable outputs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install software-data-github-interact-developer-helper-035207
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install software-data-github-interact-developer-helper-035207 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Software Data GitHub Interact Developer Helper?
Software Data GitHub Interact Developer Helper is an Openclaw Skills workflow for AI agents, maintainers, and developers who need practical GitHub-style help. It turns vague requests about issues, PRs, CLI actions, bug fixes, or repository interactions into structured plans, checklists, implementation steps, and verification guidance.
The skill is optimized for evidence-backed, local-hardware-friendly execution. It favors scripts, templates, small-model or CPU-safe workflows, and explicit assumptions so Openclaw Skills users can move from diagnosis to action without needing to inspect the original source context. When deeper planning or review criteria are needed, it points to references/requirement-plan.md.
Software Data GitHub Interact Developer Helper Use Cases
- A user asks for help with GitHub issues, pull requests, or repository workflows.
- You need to fix a bug, harden setup, or improve reliability with clear verification steps.
- You want a repeatable checklist or implementation plan for a software/data task.
- You need a local-first answer that avoids cloud-only or large-training dependencies.
- You are creating an adjacent skill inspired by proven GitHub-style patterns in Openclaw Skills.
- You need a practical artifact, analysis, or decision support that stands alone without the original prompt.
How Software Data GitHub Interact Developer Helper Works
- Restate the user outcome, constraints, available inputs, and success criteria.
- Inspect technical constraints and propose implementation steps, including test or verification commands when code or data is involved.
- Ask only for missing information that materially changes the result; otherwise continue with reasonable assumptions.
- Keep the approach local-hardware-friendly by preferring scripts, templates, checklists, and CPU-safe workflows over cloud-only or large-training methods.
- Produce the requested artifact, workflow, checklist, analysis, code change, or decision support.
- Validate the output against the success criteria and surface any remaining risks, limits, or follow-up work.
- When source evidence, planning details, or review criteria are needed, consult references/requirement-plan.md.
Software Data GitHub Interact Developer Helper Setup
This skill is lightweight and does not require a heavy runtime dependency. In an Openclaw Skills environment, make sure the skill folder is available to the agent, the reference file is present, and the runtime is refreshed so the trigger keywords route correctly.
# Example: place the skill where your Openclaw Skills runtime loads skills from
cp -R ./software-data-github-interact-developer-helper /path/to/openclaw-skills/
# Verify the reference plan is available for evidence and review support
ls references/requirement-plan.md
# Inspect the skill metadata, workflow, and triggers
sed -n '1,220p' SKILL.md
Use the trigger keywords github, cli, issue, prs, bug fix, api, and run in prompts when you want this Openclaw Skills workflow to activate.
Software Data GitHub Interact Developer Helper Data Schema & Taxonomy
| Element | Type | Purpose | Notes |
|---|---|---|---|
Frontmatter name |
string | Skill identifier | software-data-github-interact-developer-helper |
Frontmatter description |
string | Routing summary | Mentions validated demand and GitHub-style workflows |
Requirement |
section | Captures the target job-to-be-done | Includes demand score 100/100 and 12 signals across 3 source families |
Workflow |
ordered process | Standard response lifecycle | Restate, inspect constraints, ask only necessary questions, proceed local-first, produce artifact, validate |
Expected Outputs |
list | Output contract | Tailored answer, reusable checklist or workflow, verification note |
Validation |
checklist | Quality gate | Directly addresses the requirement, is actionable without the original source, and makes assumptions visible |
Triggers |
keyword map | Invocation taxonomy | software-and-data, github, interact, cli, issue, run, api, issues, prs, bug fix |
references/requirement-plan.md |
external reference | Evidence and review support | Use when planning details, source evidence, or criteria are needed |
The skill does not generate a fixed file tree by itself; instead, it produces user-facing artifacts that can be saved as docs, task notes, or implementation checklists. In Openclaw Skills workflows, the output taxonomy usually centers on outcome, constraints, assumptions, verification, and remaining risk.
Software Data GitHub Interact Developer Helper Advanced Features
- Evidence-backed prioritization built on validated demand scoring and multiple source families.
- Local-first execution that favors scripts, templates, and CPU-safe workflows over cloud-only approaches.
- Verification-first responses that include test commands, validation notes, and residual-risk summaries.
- Minimal-clarification behavior that only asks for missing information when it materially changes the result.
- Adjacent-skill ideation for creating new Openclaw Skills inspired by proven GitHub-style patterns.
- Trigger-aware routing for github, cli, issue, prs, api, run, and bug fix prompts.
- Reference-backed planning through references/requirement-plan.md when evidence or review criteria are needed.
SKILL.md
Loading
Related Openclaw Skills
Software Data AdMapix Raw Developer Helper
An Openclaw Skills helper for turning validated AdMapix-style demand into reliable, local-first workflows, fixes, and reusable artifacts.
Work Productivity Nano Banana Workflow Helper
Openclaw Skills helps AI-agent users turn Nano Banana Pro-style demand into reliable, local-first workflows, checklists, and implementation support.
Work Productivity Multi Search Workflow Helper
Openclaw Skills for turning validated multi-search-engine demand into reliable, local-first workflows, fixes, and reusable decision aids.
Work Productivity Nano PDF Workflow Helper
Openclaw Skills turns Nano PDF-style demand into a local-first workflow that restates the goal, reduces coordination, and delivers validated artifacts.
Nano Banana Image Workflow Helper
Turns a visual idea into structured prompts, reference rules, QA checks, and retry decisions for AI image generation and editing.
Humanizer Text Revision Helper
Openclaw Skills' Humanizer Text Revision Helper rewrites stiff or AI-looking drafts into natural, audience-fit prose without changing facts, citations, or compliance meaning.
Featured*
