Convert rambling descriptions of desired outcomes into polished, autonomous /goal prompts ready to paste into a fresh session. Extracts deliverables, stakes, tools, and destination, writes 150-350 word prose with self-check.
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Nightly offline self-evolution for this repo's Claude agent: harvests past Claude Code sessions (read-only), mines recurring tasks, replays them offline on your own API budget, and consolidates what it learns into validated CLAUDE.md memory and SKILL.md skills behind a held-out validation gate, staged for review (nothing live changes without /skillopt-sleep adopt). Default backend is mock (no API spend); vendored from microsoft/SkillOpt with safety-hardening patches -- see attribution.derivation_note. Use when the user wants their agent to learn from how this repo's skills are actually used, asks about a nightly/offline sleep or dream cycle, memory/skill consolidation, or invokes /skillopt-sleep.
Plan a deep work day the Cal Newport way: time-block planning + shallow-work budgeting + focus-session tracking. Classifies every task deep vs shallow (recent-graduate heuristic, explicit override wins), audits the shallow share against a 30-50% budget with a WITHIN-BUDGET / OVER-BUDGET verdict, then builds an energy-first time-blocked day — deep blocks of at least 90 minutes in the earliest hours, a hard 4-hour deep ceiling the planner refuses to exceed, shallow work batched into at most two windows, 10-minute attention-residue buffers, a fixed lunch, and a hard stop that never silently extends. A JSON-backed focus-session logger tracks weekly deep hours vs target and consecutive-day streaks, and an end-of-day shutdown ritual closes every open loop. Deterministic stdlib scripts do the arithmetic; refusals (exit 2) name exactly what to cut or defer.
Personal meeting hygiene, end to end. Before the meeting: a cost gate that prices the meeting in real dollars (attendees x minutes x rate, optionally + the 23-minute refocus overhead per attendee) and refuses to let it exist without a decision, an agenda, and a named owner — verdicts are ASYNC / NOT-READY / MEET, never a shrug. Then a timeboxed agenda builder that rejects any topic without a desired outcome, orders decision topics first, enforces a 5-minute closing actions-recap buffer, and refuses overflowing agendas by name. After the meeting: a deterministic action-item extractor that turns raw notes into an owner + due-date checklist and flags ORPHAN (no owner) and NO-DUE items, because an action item without an owner and a date is theater. Built on the Rogelberg / HBR / Grove meeting-science canon with stdlib-only scripts.
Run a GTD-style weekly review that actually closes loops. Walks David Allen's three-phase ritual — GET CLEAR (collect, process inboxes to zero, empty your head), GET CURRENT (next actions, previous + upcoming calendar, waiting-for, project lists), GET CREATIVE (someday/maybe, new ideas) — backed by three deterministic stdlib scripts: an open-loop scanner that inventories unchecked checkboxes, TODO/FIXME markers, and stale files; a checklist gate that computes completion, names every missing step, and refuses a COMPLETE verdict while any GET CURRENT step is unaccounted for; and a commitment auditor that flags STALLED, NO-NEXT-ACTION, and SOMEDAY-CANDIDATE projects with a 0-100 commitment-health score. The periodic-review counterpart to capture (intake) and reflect (per-conversation reflection).
Self-Improving Agent: curate auto-memory, promote learnings to CLAUDE.md and rules, extract proven patterns into reusable skills. Provides /si:memory-review, /si:promote, /si:extract, /si:memory-status, and /si:remember slash commands.
npx claudepluginhub alirezarezvani/claude-skills --plugin fable-goalWrite prompts, system instructions, agent directives, and skill descriptions using two stacked layers: outcome-first (goal, success criteria, stopping condition) plus directional language (every sentence names the path with positive verbs).
Draft or activate compact Codex goals for verifiable long runs. Defines the result, evidence, constraints, stop rules, limited clarification, and proportionate subagent use; separate tasks remain user-directed.
A no-nonsense goal workflow engine for Claude Code and Codex: turn a plain-English goal into tracked steps with plain-language decisions and evidence-based done.
A structured goal-setting exercise grounded in MCII research to help developers set concrete learning goals with if-then plans for follow-through.
Tell Claude what you want once; it works until the job is verifiably done, then saves what it learned. Goals with checkable specs, independent verification, and a memory that grows.
The Fable Workflow: how Claude Fable 5 worked, distilled into four skills any model can run. Think (fable-method), act (fable-loop), prove (fable-judge), grow (fable-domain). Evidence-backed: ships its own eval, failures included.