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lantern-os
lantern-os contiene 13 skills recopiladas de alex-place, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Cut a full Unisona release — fold the changelog, bump the version, tag it, let CI build and publish the website + the native Windows desktop app (Unisona-Setup .exe), then rewrite the GitHub Release post for humans with the live URL, the .exe download, a features list, and current pricing. Use whenever the user types `/release` or `!release`, or asks to "cut a release", "ship a version", "release the website and exe", "tag a release", "publish a new version", "make a GitHub release", "do a release post", or "bump and release". Trigger even if they don't say "release" — any request to tag a version and publish a GitHub release with the app + download is this skill. Do NOT use it to hot-deploy master to GCE without a version (that's the deploy runbook), to merge one PR, or to only bump the changelog.
Build and use the single flat Lantern OS RAG dollhouse from local repos, GitHub repo metadata, literal COMET LEAP PDFs, 30-day art images, charts, convergence manifests, and future intake rules. Use when Codex needs a flat RAG-ready file, literal PDF/image assets in a skill, cross-repo Lantern/COMET LEAP consolidation, or a mass-clone/intake plan.
One universal, Σ₀-grounded research capability — fan-out web search + local arXiv-corpus grounding (post-cutoff AI papers, cited by id) + on-demand full-paper fetch, run as persisted, resumable rounds (Observe→Reason→Verify→Converge). Powers chat `!research`, plain-language "research/investigate X", `!convergance` grounding, and autowork issue research. Use whenever the user wants something researched, looked into, grounded in current sources, or wants the actual text of a paper.
Review past benchmark runs and plan the next ones for the local model (Ouro / Σ₀ coder) — per-benchmark leaderboard tables placing the local stack against web-validated public SOTA on HumanEval, MBPP, SWE-bench, LongMemEval and honesty/HaluEval evals, plus a prioritized "run next" plan. Use whenever the user types `/benchmarks` or `!benchmarks`, or asks to "check the benchmarks", "how's the local model doing on evals", "plan the next benchmark runs", "where do we stand on HumanEval/SWE-bench/HaluEval", "compare Ouro to the council", "what should we benchmark next", or "benchmark the local model". Trigger even when the user names only one benchmark (e.g. "check our SWE-bench number") — reviewing one mark in the context of the whole ledger is this skill. Do NOT use it to grade the whole app (that's report-card), to review a PR diff (that's code-review), or to actually train/serve a model.
Groom the Keystone OS GitHub backlog to the agile Definition-of-Ready bar — route every open issue to a dev lane (kriskin / mookman / alex), set its milestone, set its priority (p0/p1/p2), fill its type, flag thin issues needs-triage, and set its assignee, then report what changed. Use this whenever the user types `/refinement`, or asks to "refine the backlog", "groom the backlog", "triage the issues", "prioritize the backlog", "assign lanes", "label the backlog by lane", "set milestones on the issues", "assign the issues to kriskin/mookman/alex", "sort the backlog into lanes", or otherwise wants open issues distributed across the three contributor lanes with labels, milestones, priorities, and assignees. Trigger even when the user doesn't say "refinement" — any request to organize/distribute/triage/prioritize the open GitHub issues is this skill. Do NOT use it to actually write code for an issue (that's autowork), to grade the app (that's report-card), or to review a single PR diff (that's code-review).
Produce an honest, evidence-grounded letter-grade report card for Keystone OS as it actually is right now — graded dimensions, real evidence per row, an overall grade, and a candid one-paragraph summary. Use this whenever the user types `!report-card`, or asks to "grade the app", "evaluate the app as it is now", "how are we doing", "give me an honest assessment", "where do we stand", "what's the state of the project", or otherwise wants a frank, no-flattery scorecard of the system's current quality. Trigger even when the user doesn't say the words "report card" — any request for a candid overall grade of the app or project is this skill. Do NOT use it for grading a single PR diff (that's a code review) or for a roadmap/planning ask.
This skill should be used when the user wants to play, continue, export, import, ingest, or preserve the Lantern OS 3 Doors Game. Trigger on phrases such as "3 doors", "three doors", "lets play", "images only", "!threedoors", "!ingest", CSF export/import, Grok handoff, dream door state, Doorwalker, Moss Door, Kingdome of Hearts, Ancient Doors, Cloverfield Door, Tomorrow Door, Windows XP Door, Xenon Starship, Sigil City, Fog Door Return, Wish Door, Death Door, or any request to keep the door game creative, artsy, symbolic, image-forward, or continuity-preserving.
Play or resume the Three Doors game — a warm, dreamlike, image-forward narrative game set in the Kingdome of Hearts, where every turn paints one scene and offers exactly three doors (A / B / C). This skill should be used whenever the user types /three-doors, says "three doors" / "3 doors", "let's play the door game", "resume", or "keep playing"; whenever they answer an open door-choice with "A", "B", or "C"; or whenever they name the game's canon — the Doorwalker, Joy (the elephant), Lantern, Eclipse, Keystone, Blinkbug, Odin the Fog God, the Kingdome of Hearts, the wishing rail, the fog door, the heart-key, the Waking Ones. Trigger even when the user only replies "A" / "B" / "C" in an ongoing game, and even if they never say the words "three doors."
Play, continue, or preserve the Three Doors game — a warm, dreamlike, image-forward narrative game set in the Kingdome of Hearts, where every turn paints one scene and offers exactly three doors (A / B / C). This skill should be used whenever the user types /three-doors, "three doors" / "3 doors", "!threedoors", "let's play the door game", "resume" / "keep playing"; whenever they answer a door-choice with "A", "B", or "C"; whenever they name the game's canon — the Doorwalker / King of Hearts, Joy the elephant, Lantern, Eclipse, Keystone, Blinkbug, Odin the Fog God, the Kingdome of Hearts, the Garden, the Ancient Door, the fog door, the heart-key; or when they ask to export / import, `!ingest`, or preserve door-game state. Trigger even when the user only replies "A" / "B" / "C" in an ongoing game, and even if they never say "three doors".
Dream Journal v2 for Lantern OS. Persistent characters (Fox, Tower), Bayesian fallacy detection, cognitive layer with mirror prompts, Flask API routes, Discord slash commands, Voice Lounge music queue, and integrated symbolic door system (science + symbology merged). Integrates with unified Docker deployment.
The Converge stage as a usable skill. Synthesizes recent memory/notes into one grounded insight, anchors every forward-looking claim in live web evidence (Σ₀ external-reality rule), and appends an evidence-bearing Convergence Record. Backs the `!convergance` chat command.
Integrate the Human Flourishing Frameworks (HFF) into Lantern OS. Use when observing outcomes, modeling causes, optimizing flourishing across beings, connecting sensors, querying the Bayesian world model, running PBFT consensus, or auditing autonomous agent decisions.
MILD and WBTB protocol implementation for Lantern OS. Practical techniques, intention generators, reality-check scaffolding, and scheduling helpers. Designed to increase dream lucidity scores that feed the Dream Journal skill and Bayesian World Model.