Track progress toward your goal
Run an agent toward a condition, pausing and resuming across sessions with structured goal, progress, and blocker files.
/goal <condition that sets a lightweight stop-condition: after each turn the harness checks whether the condition is met and auto-continues until it is. That primitive has no state files, no acceptance criteria, no iteration log. This skill ( /pursue ) is the heavyweight version: structured goal.md / progress.md / blockers.md , a self-paced ScheduleWakeup loop, and explicit pause/resume/stop lifecycle. Use the built-in for "keep going until X is true" within a session; use /pursue for multi-day work that must survive resets
claude-code
More planning loops
loop-init, loop-audit, loop-cost CLI patterns
Three starter CLI tools that turn loop design into a repeatable workflow: scaffold a loop with a goal, budget, and verify step; audit an existing loop design; and estimate cost before you run.
Starter CLI tools: `loop-init` scaffolds a loop (goal, budget, verify step), `loop-audit` reviews an existing loop design, `loop-cost` estimates spend before running.
planningmedium risk
Ralph the PRD backlog
The canonical Ralph loop: each iteration starts fresh, reads the PRD and guardrails, ships exactly one backlog item end-to-end, and records what it learned.
/loop start each iteration with fresh context: read PROMPT.md, prd.json, and .ralph/guardrails.md; pick the single highest-priority item in prd.json not marked done, implement it with tests, run the full check suite, commit and mark it done only if green; if blocked or a check fails twice the same way, append the lesson to .ralph/guardrails.md and move on; stop when every item is done or after 30 turns
planninghigh risk
Set agent continuation budget
Configure max turns before agent stops, preventing runaway loops and controlling execution cost.
/goal budget <n Set max continuation turns
planninglow risk