- Home
- Skills
- Agents & Orchestration
- awesome list pr gate
Works with the AI Agents you already use
awesome list pr gate
A structured workflow to screen awesome-list repositories and open pull requests that actually get merged.
$14.99
awesome list pr gate
Example session with this skill installed
Check if https://github.com/owner/awesome-list is a good target for my project 'AgentX' and show me how to format the entry.
- Read your context and instructions
- Compiled the awesome list pr
I have screened the target repository against the pre-flight gates. The list is active (last commit 3 days ago) and there are no duplicate PRs for 'AgentX'. The repository requires alphabetical ordering and specific tag formatting.
Pre-flight Analysis for AgentX
| Gate | Status | Findings |
|---|---|---|
| Fit | Pass | Suitable for the 'Productivity Tools' section. |
| Activity | Pass | 5 PRs merged in last 14 days; queue is moving. |
| Duplicate | Pass | No existing entries or open PRs found for 'AgentX'. |
| Format | Pass | Uses bullet style with separate backticks for tags. |
| History | Pass | Maintainer accepts unsolicited 'Add X' PRs. |
| Legal | Warning | Repository uses cla-bot; requires OAuth sign-in after PR. |
Entry Template (Alphabetical Position: between AgentW and AgentY)
- [AgentX](https://github.com/user/agentx) - `Python` `MCP` - A factual one-sentence description of the agent's core function.
Proposed PR Body
Add AgentX to the Productivity Tools section.
Compliance Checklist:
- Added in alphabetical order between AgentW and AgentY.
- Format matched against existing entries: bullet style, separate backticks for tags.
- Description is a single factual sentence ending with a period, per CONTRIBUTING.md.
Next steps
- Run
gh repo fork owner/awesome-list --clone=falseto prepare your environment. - Use the provided template to update the README.md at the identified line.
- Monitor the PR for the
cla-botcomment to complete the contributor license agreement.
Connects securely to your tools. The creator never sees your data.
About this skill
Getting a project listed on curated "awesome lists" often results in immediate rejection due to formatting errors, duplicate entries, or ignored contribution rules. This skill provides a structured pre-flight checklist and automated workflow to ensure pull requests meet the specific bar of high-traffic repositories like awesome-quant or awesome-ai-agents. It eliminates the friction of manual screening and the embarrassment of being flagged as spam by list maintainers.
What it does
- Target discovery identifies relevant curated lists and validates if they accept unsolicited contributions.
- Activity screening checks commit history and PR queues to avoid wasting time on dormant repositories.
- Duplicate detection searches open and closed PRs to ensure the project isn't already in the pipeline.
- Format matching extracts existing entry styles and
CONTRIBUTING.mdrules to generate pixel-perfect Markdown diffs. - Automated submission handles forking and PR creation via the GitHub API, including alphabetical placement.
- Gate resolution provides specific commands to fix CLA blocks, DCO sign-off failures, and linting errors.
How it works
- Screening mode runs the first three gates (Fit, Activity, Duplicate) using
ghCLI commands to qualify the list. - Analysis mode parses the README and contribution guidelines to determine the exact entry template and alphabetical position.
- Drafting mode generates the PR diff and a compliant PR body that cites specific adherence to the list's rules.
- Follow-up mode monitors for bot comments and provides remediation steps for legal or CI gates.
Frameworks & tools
This skill utilizes the GitHub CLI (gh), base64 for content decoding, and standard shell utilities for text manipulation. It targets GitHub-hosted curated lists.
Why this beats prompting it yourself
Generic prompts often miss the nuances of alphabetical ordering or specific tag formatting (like separate backtick pairs), leading to instant PR closures. This skill implements a rigorous six-gate validation process that mimics the workflow of a veteran open-source contributor, significantly increasing the merge rate.
Use cases
- Submitting a new AI agent to high-traffic "awesome-ai-agents" repositories.
- Diagnosing why a project was rejected and preparing a compliant resubmission.
- Monitoring a specific list for activity before attempting to contribute.
- Fixing DCO sign-off or CLA bot errors on an existing contribution.
Known limitations
Does not support non-GitHub repositories or lists that require submission via external web forms. Cannot bypass human maintainer discretion for project quality.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
Money-back guarantee
Doesn't do what its page promises? You get your money back.
Trust & safety
Security scanned
Verified clean 4 days ago
- Passed all security checks, Safe to install
Requires