/goalplanninglow riskintermediatesafety D · 50 · open-endedpre-dates current gate · under review

Set goal-aware completion criteria

Set an explicit condition on the task, and the agent verifies completion against that goal instead of generic heuristics.

prompt
→ Claude
/goal <condition sets an explicit completion condition on the active task. NextSpeakerJudgeGuardian switches from generic "is the turn finished?" to strict goal-aware evaluation that verifies the transcript shows demonstrable evidence the condition is met. AGENT-only. Available in TUI and IntelliJ. Condition persisted on the tasks table, survives session restart
claude-code

Source: shadoq

More planning loops

loop-init, loop-audit, loop-cost CLI patterns

/ralphnew

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.

prompt
→ Claude
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.

prompt
→ Claude
/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

/goalnew

Configure max turns before agent stops, preventing runaway loops and controlling execution cost.

prompt
→ Claude
/goal budget <n Set max continuation turns
planninglow risk