Give Claude Code a persistent mind: an autonomous agent framework that sets its own goals, forms predictions, and learns from outcomes across sessions.
Produces an agent completion report showing what changed since the last status marker: completed goals, new tree encodings, emitted findings, resolved hypotheses, and in-flight work. Use whenever the user asks "what have you done", "what's the status", "give me a recap", or requests a dashboard; also use when the…
Handles the all-goals-blocked state inside the aspirations loop (phases B0-B7): scans the coordination board, generates constraint-aware aspirations, runs the idle playbook, triggers evolution, kicks off research, performs reflection, and applies exponential backoff. Use whenever the goal selector returns zero…
Reviews aspirations approaching completion: sweeps remaining goals for outstanding work, checks motivation fulfillment, runs the maturity gate (Phase 7.4 intent satisfaction), decides archival or continuation, and creates replacement aspirations. Use whenever an aspiration reaches high completionratio, the zombie scan…
Daily curation flow for guardrails + reasoning bank. Each fire pulls 15 lowest-evidence guardrail candidates and 15 rb candidates from utilization-stats.py, walks them with a deterministic RETIRE/KEEP/REVISE/SKIP decision protocol (default RETIRE on zero-evidence + high exposure + age), writes exemption windows on…
Handles the graceful-stop path for the aspirations loop: recovers in-flight iteration checkpoints, completes pending verify/state-update obligations, and runs the deferred stop sequence D1-D7. Use whenever {agent}/session/stop-requested is detected at Phase -1.4 of the aspirations loop, or the loop needs to exit…
Enforces learning obligations inside the aspirations loop: the learning gate, retrieval gate, meta-learning signal, periodic reflection cadence, conclusion audit, and batch reflection. Use whenever a goal completes and the loop must verify that encoding, retrieval, and reflection actually happened before moving to the…
Runs pre-selection checks at the start of every aspirations-loop iteration: completion runners, aspiration health, guardrail checks, blocker resolution re-probe, zombie-aspiration scan (Phase 0.5.0a), and recurring-goal surfacing. Use whenever the aspirations loop starts a new iteration and needs to tidy state before…
Selects the next goal for execution: runs the mandatory goal-selector.sh scoring pass, metacognitive assessment, batch candidacy check, blocker gate, context pre-fetch, and full goal-detail loading. Use whenever the aspirations loop needs the highest-priority unclaimed unblocked goal for the next iteration. Always…
Runs the Spark Check (Phase 6) and Immediate Learning (Phase 6.5) of the aspirations loop: adaptive spark questions, all sq-XXX handlers (including sq-012 self-purpose update), aspiration-level spark, and immediate capture of reasoning-bank entries, guardrails, and forge awareness. Use whenever a goal completes — this…
Runs the State Update Protocol (Phase 8 of the aspirations loop) after EVERY goal execution: 9 steps plus Step 3.5 Team State, Step 8.5 Actionable Findings Gate, Step 8.75 Execution Reflection, Step 8.76 Skill Quality, Step 8.77 User-Notable Event Push Classifier, and Step 8.11 Execution Feedback. Use whenever a goal…
Performs a strategic environmental scan: reads world signals, recurring-goal outputs (infra health, email, audit trails), knowledge-tree frontier, portfolio health, and intrinsic motivation — then generates new aspirations from external observation rather than introspection. Use whenever the aspirations loop hits the…
Phase 5 of the aspirations loop: verifies a just-executed goal using hypothesis outcomes, unified outcome/check evaluation, Q1/Q2/Q3 verification escalation, streak tracking, and dependent-goal unblocking. Use whenever /aspirations-execute finishes and the loop must confirm the goal actually met its verification…
Runs the autonomous aspiration loop — the perpetual heartbeat that selects, executes, verifies, reflects on, and evolves goals forever. This is the core orchestrator for autonomous mode. Use whenever /boot finishes in autonomous mode, when re-entering the loop after autocompact recovery, or when the user runs…
Generates a complete sprint-planning backlog as copy-pasteable markdown: all aspirations, goals, scores, blockers, and user action items, written to {agent}/BACKLOG.md with a compact terminal summary. Use whenever the user says "show me the backlog", "give me sprint planning material", "what's in the queue", or needs…
Entry point for autonomous mode — runs the status report (hypothesis readiness, pipeline state, accuracy stats, meta-memory counts), invokes /prime for full context load, then hands off to the /aspirations loop. Use only when /start activates autonomous mode or when recovering the loop after autocompact. NEVER invoke…
Creates new aspirations from three source modes — from-user (parse user text), from-self (autonomous gap-driven, optionally --plan for research-backed deliberation), and from-followup (fast-path: one aspiration with a single 'Design implementation plan and file sub-goals here' seed goal). USE WHENEVER you catch…
Evaluates all graduation gates for the agent's current curriculum stage and promotes to the next stage if every gate passes. Gates include metricthreshold, countcheck, logscan, and commandcheck types. Use whenever /aspirations-consolidate hits session end, /aspirations-evolve runs a mandatory evolution pass, or the…
Performs HTN (Hierarchical Task Network) decomposition: breaks a compound goal into a sequence of primitive, directly-executable sub-goals. Use whenever a selected goal is too abstract or multi-step to execute as-is (selector or Phase 4 flags it as compound), the user says "break down this goal", or…
Drains the agent's temp/ working-doc store into the knowledge tree. Walks every undrained file under agents/{agent}/temp/ (analyses, briefings, audits, design docs, snapshots), classifies each against the learning-routing decision tree, encodes its reusable value into the right store (knowledge tree / reasoning bank /…
Runs a structured learning pass on the current chat session: encode reusable insights to the knowledge tree / reasoning bank / guardrails / patterns / experience archive; file Maintain goals for inline completions; re-probe blockers our work may have falsified; surface new aspirations / goals / forge gaps; propose…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: