ralph-loop
claudeInteractive self-referential AI loops for iterative development. Claude works on the same task repeatedly, seeing its previous work, until completion.
3 commands · hooks
Long-running agent loop for Claude Code, in the Ralph pattern — a stable prompt, a mutable plan, and a loop that runs until the plan is empty.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin ralph in flight505/ralph. Commands read from the repo's manifest — 1 month ago.
/ralph:goalRun a single-session /goal-driven Ralph. For shorter, well-scoped tasks where one continued conversation is enough.
/ralph:initScaffold .ralph/ (plan.md, prompt, config) in the current project.
/ralph:runRun the Ralph loop. Each iteration is a fresh `claude -p` with no carried context.
code-studierStudies the Ralph reference implementations in research/ and returns patterns, code excerpts with file:line citations, and design tradeoffs. Spawn before any architectural decision, when comparing approaches, or to find canonical code that can be adapted into this plugin. Read-only — never modifies
Interactive self-referential AI loops for iterative development. Claude works on the same task repeatedly, seeing its previous work, until completion.
3 commands · hooks
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until completion.
3 commands · hooks
Context persistence, restoration, and long-running conversation management
2 commands · 1 agent
Turn any domain folder of skills into a bounded agentic loop: a manifest builder inventories a domain's skills/tools/checks, a goal compiler turns a goal into a verifiable task plan (refusing vague goals with forcing questions), and a JSON-backed loop controller drives execute->verify->close with retry caps, controller-run verification (no verification theater), human escalation on exhausted budgets, and a close gate that refuses while any task is unverified or unwaived. Ships 3 stdlib Python tools, 18 committed per-domain harness manifests + JSON schema, 3 references citing the 2024-2026 agent-harness canon (Anthropic long-running harnesses, verifier's law, SWE-agent, Ralph loop, Cognition), harness-runner agent + /cs-harness command. Use when an agent or subagent should pick up a goal, define its tasks, complete and verify them, and close the loop.
1 skill · 1 command · 1 agent
PRD generation and conversion skills for the Ralph autonomous agent loop
2 skills
Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).
19 skills
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.