By zakattack9
Ralph Loop — autonomous agentic coding workflow with sandbox isolation, scoped memory, and self-managing task iteration
Researches library and framework documentation via Context7 for Ralph Loop planning. Use during /ralph-plan when the feature involves specific technologies where API details, configuration, or best practices matter.
Explores and analyzes project codebases for Ralph Loop planning. Use during /ralph-plan to understand project structure, tech stack, existing patterns, and files relevant to a proposed feature.
Architects detailed task hierarchies for Ralph Loop execution. Use during /ralph-plan after research and user requirements are gathered to produce optimal story breakdowns sized for fresh context windows.
Performs web research for Ralph Loop planning. Use during /ralph-plan when the feature involves external services, third-party APIs, emerging patterns, or technology decisions where up-to-date information matters.
Archive the current Ralph Loop and reset state files for the next loop
!`bash .ralph/scripts/ralph-init.sh $ARGUMENTS`
Install Ralph Loop scripts and templates into the current project's .ralph/ directory
Interactively generate a PRD and task list for a Ralph Loop — invoke to plan a feature before running ralph.sh
Guidelines for writing effective CLAUDE.md files and .claude/rules/ — invoke when creating or editing CLAUDE.md or rule files
Matches all tools
Hooks run on every tool call, not just specific ones
Uses power tools
Uses Bash, Write, or Edit tools
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Git worktree workflow for parallel Claude Code sessions, built on native worktree support: create-worktree spins up an isolated worktree and flips the session into it (fresh from origin, .worktreeinclude env files copied, optional issue/PR seed, opt-in setup script); list-worktrees shows a dashboard of every worktree (ahead/behind, dirty, PR, current marked); pull-worktree rebases/merges a worktree onto a chosen base branch; merge-worktree commits, pushes, opens/merges the PR into a chosen target, runs an opt-in teardown script, then removes the worktree and returns to main.
Spec workflow by Zak Sakata: write-spec is the workflow entrypoint that turns a bare idea into a spec — eliciting and distilling requirements (full rigor) before drafting concise, scannable feature specs at a requested rigor (light/standard a code-free, implementation-agnostic WHAT to full deep spec that may pin implementation) that open with a flat, id'd Acceptance Criteria contract (optionally organized into ordered named groups); refine-spec hardens a draft into an accurate, not-over-engineered, implementation-ready spec via a grounded multi-pass review loop, commits the grounded AC group order, and hunts unstated non-functional constraints; launch-spec compiles a verified spec into one of three drivers (/goal, ultracode, /batch), each completed by a verify-spec gate on every acceptance criterion (emit-only), phasing a large or hard-sequenced build by AC group; verify-spec checks that the implementation actually matches the spec's claims and every acceptance criterion, grounded against the real code, git history, and live state — scaling each criterion's evidence standard and recording a per-AC verification method — and flags delivered code that maps to no criterion (backward coverage); on a spec re-run it drifts against the last clean verification, re-grounding only criteria whose evidence moved and flagging regressions. spec-ops commits the spec artifact at each stage (write the draft, refine the ready spec with Stop-hook enforcement, launch bakes a per-phase commit cadence into the /goal driver), each commit scoped to the spec file and never pushed. A verify→refine handoff carries verify-spec's backward-sweep proposed ACs to refine-spec via /tmp (hook-written), so a missed-requirement finding amends the spec on the next refine run without re-keying; verify stays read-only.
A collection of Claude Code utilities by Zak Sakata
Run a small team's entire software lifecycle on GitHub Projects v2 — deterministic, free, and GitHub-native. scaffold-repo copies a golden-template Project (fields, 8 views, 9 Insights charts) across the org and installs the repo automation (issue forms, PR template, board-sync + signals-sync workflows, the self-contained board-status deploy action, release notes, CODEOWNERS, no-squash merge setting); intake-issues turns a raw dump into tiered, AC-bearing issues by delegating the spec body + Acceptance Criteria to spec-ops (write-spec at the tier's rigor, refine-spec for T3) and sizing/Epic-splitting from the AC-group count; sync-signals recomputes the auto Gantt-signal fields (Schedule health, Slippage, Blast radius, Blocked) from the native blocked-by DAG and posts the project Status update. The board tracks the full branch -> PR -> staging -> prod flow with no hand-maintenance: Status writes are idempotent + monotonic across three loosely-coupled layers (native built-ins, the event-driven board-sync, the opt-in board-status deploy step), every Projects v2 write uses a GitHub App installation token (never GITHUB_TOKEN), schema edits diff before mutate to keep option/iteration IDs stable, and a skill-scoped PreToolUse guard blocks --squash and prod actions without green checks. No metered AI in Phase 1.
Manage Claude Code skills across any project and marketplace: configure which plugins a project uses, push local skills up to a central marketplace, keep them in sync, and remove them. Adapts to any repo layout. Authoring new skills is delegated to the native skill-creator skill.
npx claudepluginhub zakattack9/agentic-coding --plugin ralphReliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Harness-native ECC plugin for engineering teams - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.