An Openclaw Skills agent for turning GitHub-style requests into practical, local-first workflows for bugs, issues, PRs, reliability, and setup hardening.
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-005353
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-005353 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 GitHub Workflow Developer Helper?
GitHub Workflow Developer Helper is an Openclaw Skills workflow for AI-agent users, skill authors, maintainers, and teams that need practical help with GitHub-style work on Clawhub.
It focuses on fixing bugs, hardening setup and safety, improving reliability, and creating adjacent workflows inspired by the same job-to-be-done. Backed by validated demand signals, this skill favors concrete artifacts over abstract advice and keeps the process local-first, using scripts, templates, checklists, and verification steps that can be applied immediately.
GitHub Workflow Developer Helper Use Cases
- Triage and respond to GitHub-style issues, bug reports, and breakage in an existing workflow.
- Plan or implement fixes that need clear constraints, test commands, and verification notes.
- Harden setup, safety, or reliability for a developer workflow or agent skill.
- Turn repeated requests into reusable checklists, templates, or runbooks.
- Support CLI, API, issue, and PR interaction workflows for Clawhub-style development.
- Adapt a popular GitHub-style workflow into an adjacent skill or implementation pattern.
- Handle prompts containing software-and-data, github, interact, cli, issue, api, issues, prs, or bug fix keywords.
How GitHub Workflow Developer Helper Works
- Restate the user's outcome, constraints, available inputs, and success criteria so the task is framed correctly.
- Inspect technical constraints, propose implementation steps, and include test or verification commands whenever code or data is involved.
- Read
references/requirement-plan.mdwhen source evidence, planning details, or review criteria are needed. - Ask only for missing information that materially changes the output; otherwise continue with reasonable assumptions.
- Keep the solution local-hardware friendly by preferring scripts, templates, checklists, and small-model or CPU-safe workflows over cloud-only or heavy-training approaches.
- Produce the requested artifact, workflow, checklist, analysis, code change, or decision support.
- Validate the result against the success criteria and list any remaining risks or follow-up work.
GitHub Workflow Developer Helper Setup
- No package install is required; this is a prompt-level skill in the Openclaw Skills library.
- Place
SKILL.mdin the skill directory and keepreferences/requirement-plan.mdalongside it so the skill can access source evidence and review criteria. - Verify the bundle is complete:
# verify the skill bundle
test -f SKILL.md && test -f references/requirement-plan.md
- Review the evidence and planning notes before using the skill for source-backed requests:
cat references/requirement-plan.md
- Invoke the skill with GitHub-style keywords such as
software-and-data,github,interact,cli,issue,api,issues,prs, orbug fix.
GitHub Workflow Developer Helper Data Schema & Taxonomy
This skill is prompt-driven, so it does not define a persistent database schema or fixed runtime storage model. Instead, it organizes information into a small metadata and workflow taxonomy.
| Component | Type | Purpose |
|---|---|---|
name |
string | Human-readable skill identifier. |
description |
string | Invocation guidance and problem scope. |
| Requirement block | narrative + metrics | Captures the validated demand statement, demand score, and evidence count. |
references/requirement-plan.md |
reference document | Stores source evidence, planning details, and review criteria. |
| Workflow section | ordered steps | Defines the agent lifecycle: restate, inspect, ask, build, validate. |
| Expected outputs | bullet list | Describes the artifact, reusable workflow, and verification note. |
| Validation section | checklist | Ensures the result is actionable, self-contained, and risk-aware. |
| Triggers | keyword taxonomy | Maps prompts containing software-and-data, github, cli, issues, prs, api, and bug fix to the skill. |
Generated artifacts at runtime are user-specific and may include a tailored answer, a reusable checklist or workflow, a code change, an analysis, a decision-support note, and a short verification summary.
Metadata taxonomy used by the skill:
- Demand framing: validated demand, demand score, local feasibility, evidence count, source families.
- Task framing: outcome, constraints, available inputs, success criteria.
- Execution framing: implementation steps, test commands, verification notes.
- Risk framing: assumptions, limits, follow-up work.
- Trigger framing: software-and-data, github, interact, cli, issue, run, api, issues, prs, bug fix.
GitHub Workflow Developer Helper Advanced Features
- Demand-backed guidance with explicit validation signals and a high-confidence use case definition.
- Strong GitHub-style workflow support for issues, PRs, CLI actions, API interactions, and bug fixes.
- Local-first recommendations that prefer scripts, templates, checklists, and CPU-safe execution paths.
- Verification-first output that includes checks, success criteria, and residual-risk notes.
- Minimal clarification overhead: the skill only asks questions that materially change the result.
- Flexible enough to generate adjacent skill ideas or hardened variants of the same workflow.
- Well-suited for Openclaw Skills teams that want practical, reusable artifacts instead of abstract guidance.
SKILL.md
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