Solo long-horizon goal loop: sharpen a spec (grill if vague), forge a /goal completion condition, then haul toward it turn after turn in a git worktree — each turn deciding explore (a fresh approach off the base) vs exploit (refine the incumbent), keeping only measured wins on a ratcheting incumbent branch, until the goal holds or the round cap trips. Then wrap up with a PR.
Plugin long-haul from marketplace ccomkhj-skills in ccomkhj/skills. Commands read from the repo's manifest — 12 days ago.
haul-goalPhase 2 of long-haul. Turn .longhaul/SPEC.md into a /goal-ready completion condition — one measurable end state, a stated transcript-demonstrable check, the constraints that must hold, and a round cap — written to .longhaul/GOAL.md plus the literal /goal line for the user to run. If the end state is
haul-loopPhase 3 of long-haul — the per-turn loop. Under an active /goal, each turn run exactly one round: decide explore (a fresh approach off the base commit) vs exploit (refine the incumbent), implement the attempt in a git worktree following the /implement contract, run the goal's stated check, and keep
haul-shipPhase 4 of long-haul — the finishing move. Fires once the /goal condition is met (the goal auto-clears) or the round cap trips. Reports goal-vs-achieved with the final check output, the explore/exploit path each round took, and the net kept diff; then commits the incumbent on a feature branch and op
haul-specPhase 1 of long-haul. Turn the user's ask into a well-defined spec — a located deliverable, a transcript-demonstrable success signal, the toolbox of skills + MCP the haul may use, constraints, and out-of-scope. If the ask is vague, grill it first. Produces .longhaul/SPEC.md. Use as the first phase o
long-haulAuto-chaining orchestrator for a solo long-horizon goal loop. Sharpen a spec (grill it if vague), forge a /goal completion condition, then haul toward it turn after turn in a git worktree — each turn deciding explore (a fresh approach off the base) vs exploit (refine the incumbent), keeping only mea
Goal-driven improvement loop: understand what needs improving, forge a /goal completion condition, then race a different-model Claude against Codex (each in its own git worktree) round by round until the goal is met, summarize, and ship a PR.
6 skills
Product design loop for an existing Next.js/React app: define the problem, explore competing UX flows, validate the direction, prototype in the real codebase, and hand off a developer-ready behavior spec. Five skills, each usable alone, sharing one experiment record that keeps proposed, done, approved and unverified apart.
5 skills
Interactive self-referential AI loops for iterative development. Claude works on the same task repeatedly, seeing its previous work, until completion.
3 commands · hooks
Long-horizon goal planning, deep research orchestration, and adaptive replanning using GOAP
5 skills · 1 command · 4 agents
Automate API security directly in Claude Code with 42Crunch - automatically audit OpenAPI specs, detect vulnerabilities aligned with OWASP API Security risks (including BOLA/BFLA), and apply AI-powered fixes. Designed for AI-assisted development workflows, it provides continuous guardrails through an audit->scan->remediate->validate loop, ensuring APIs meet enterprise security standards before deployment.
5 skills
Drive the Superself `self` CLI: version control for a project's state (goals, decisions, work units, reports) kept outside the code repo, so a session reads context at start, reports with evidence, and the next session picks up where this one left off
1 skill
Official Carbone skill — complete templating language reference covering tags, loops, conditions, formatters, aggregators, and all output formats (DOCX, XLSX, PPTX, ODT, HTML, Markdown, PDF)
1 skill
Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).
6 skills · 8 commands · 4 agents · hooks
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.