
from skillshub54
Automates continuous open-source contributions using a 9-agent swarm: finds good-first-issues, implements fixes/tests/docs, creates PRs, and handles review feed
This skill deploys a coordinated 9-agent swarm that autonomously discovers contribution opportunities across GitHub, qualifies repos, implements fixes or features, adds tests or docs when needed, opens professional pull requests, and iteratively responds to review feedback. It includes a continuous mode for ongoing contributions and a single-cycle command for one-off runs. The system tracks success signals to prioritize issue types, languages, and repositories that yield high merge rates.
Use this skill when you want to automate scaled open-source contributions: bulk triage of good-first-issues, continuous creation of low-risk PRs (typos, docs, tests), or when you need a repeatable pipeline that learns which repositories and issue types accept automated contributions. Not intended for high-risk security or core-logic changes without human oversight.
Best suited for multi-agent orchestrations and agents with CLI tooling integration (Claude Code / Claude CLI, other multi-agent frameworks). It relies on GitHub CLI for authentication and standard shell tooling (git, jq).
Multi-agent swarm skill that automates open-source contributions via a 9-agent pipeline. Scripts are well-structured bash with good logging and jq-based JSON state management. Two utility scripts (pr-tracker, status-poller) ran cleanly; core orchestrator scripts failed due to missing logs directory initialization and dependency on gh/claude CLIs. Agent prompt files referenced in launch-agent.sh are not bundled, so the skill cannot run its core pipeline out of the box.
claude (Claude Code CLI)gh (GitHub CLI, authenticated)Well-intentioned automation skill. Shell injection risk is minor — most user input flows through jq --arg which is safe, but some unquoted expansions exist. The real concern is practical: without the agent prompt files and with heavy external deps, this skill is a framework rather than a working tool. Architecture is ambitious but incomplete as shipped.
Algolia Cost Tuning
Practical guide to reduce Algolia billing by auditing records/requests, switching to virtual replicas, multi-query usage, caching, and cleanup strategies.
Anthropic Security Basics
Practical security practices for Anthropic Claude integrations: API key management, input validation, prompt-injection defenses, and output scanning.
Colorize — Strategic UI Color Introduction
Introduce purposeful color to monochromatic interfaces to improve hierarchy, meaning, and visual engagement while preserving accessibility.
Input Validation Checker
Automated guidance and code patterns for implementing robust input validation and secure-coding practices (OWASP-aligned).
Plotly Chart Generator
Generates Plotly charts and production-ready code for visualizations; validates outputs and follows best practices for charts and presentations.
Security Headers Generator
Auto-activating skill that generates and validates security HTTP headers and provides guidance for implementing secure header configurations.
Turborepo Guidance
Practical Turborepo guidance for JavaScript/TypeScript monorepos: task configuration, caching, filtering, and CI best-practices.
Exa Webhooks & Events
Patterns and example code for building webhook-style monitors and alerts around Exa neural search (scheduled monitors, similarity alerts, digests).
Test Orchestrator Skill
QA orchestration skill: defines test strategy, assigns unit/integration/E2E suites, enforces coverage thresholds, and coordinates CI test execution.
Splitwise Automation (Composio/Rube MCP)
Automation patterns for Splitwise via Composio's Splitwise toolkit over Rube MCP; includes discovery, connection checks, and safe execution patterns.