Open-Paws

GitHub workflow for AI-assisted advocacy development — issue-first, worktree-per-task, plan→review→implement loops, desloppify gate, post-PR monitoring

General-purpose subagent delegated by /run. Runs pipeline orchestration algorithm: discover pipeline items, identify stage, dispatch per-stage subagents via Task, classify outcomes, write report.

Security audit workflow for advocacy projects — dependency verification, zero-retention compliance, slopsquatting defense, encrypted storage, instruction file integrity, device seizure readiness, ag-gag exposure assessment

Security audit workflow for advocacy projects — dependency verification, zero-retention compliance, slopsquatting defense, encrypted storage, instruction file integrity, device seizure readiness, ag-gag exposure assessment

SEO + GEO audit and implementation workflow — Core Web Vitals, HTML structure, semantic writing, E-E-A-T, content intent, Wikipedia/Wikidata, JSON-LD schema, meta tags, crawl budget, robots.txt, sitemap, IndexNow, topic cluster architecture, link building, brand signals, conversion optimization, analytics, internationalization, platform presence, defensive review

SEO + GEO audit and implementation workflow — Core Web Vitals, HTML structure, semantic writing, E-E-A-T, content intent, Wikipedia/Wikidata, JSON-LD schema, meta tags, crawl budget, robots.txt, sitemap, IndexNow, topic cluster architecture, link building, brand signals, conversion optimization, analytics, internationalization, platform presence, defensive review

Layered code review pipeline — automated checks first, then AI-assisted review, then human review focused on Ousterhout red flags, AI failure patterns, silent failures, and advocacy-specific concerns

Spec-first test generation, assertion quality review, mutation testing, five anti-patterns to avoid — for AI-assisted advocacy development where silent test failures mean lost evidence or exposed activists

Security audit workflow for advocacy projects — dependency verification, zero-retention compliance, slopsquatting defense, encrypted storage, instruction file integrity, device seizure readiness, ag-gag exposure assessment

Structured stakeholder interview for advocacy projects — gathers purpose, threat model, coalition needs, legal exposure, user safety requirements, and budget constraints one question at a time

Plan-before-code workflow — read existing code, write spec, decompose into subtasks, implement and test one at a time, comprehension check before committing

Git workflow for AI-assisted advocacy development — atomic commits per subtask, ephemeral branches, PR curation into reviewable chunks, AI-Assisted tagging

SEO + GEO audit and implementation workflow — Core Web Vitals, HTML structure, semantic writing, E-E-A-T, content intent, Wikipedia/Wikidata, JSON-LD schema, meta tags, crawl budget, robots.txt, sitemap, IndexNow, topic cluster architecture, link building, brand signals, conversion optimization, analytics, internationalization, platform presence, defensive review

Spec-first test generation, assertion quality review, mutation testing, five anti-patterns to avoid — for AI-assisted advocacy development where silent test failures mean lost evidence or exposed activists

Layered code review pipeline — automated checks first, then AI-assisted review, then human review focused on Ousterhout red flags, AI failure patterns, silent failures, and advocacy-specific concerns

Multi-language codebase health scanner. Use when the user explicitly asks to run desloppify, scan for technical debt, get a health score, or create a cleanup plan. Do NOT trigger for general code review, renaming, or fixing individual bugs.

Multi-language codebase health scanner. Use when the user explicitly asks to run desloppify, scan for technical debt, get a health score, or create a cleanup plan. Do NOT trigger for general code review, renaming, or fixing individual bugs.