Run a verified multi-agent goal with Bernstein. Use when a task is too large for a single agent session: Bernstein decomposes the goal into tasks, spawns CLI coding agents in parallel git worktrees, verifies their output, and merges results. Also use to check run status, costs, and to verify a finished run against its…
Automatically captures Gemini CLI intent and writes it to .gemini.intent whenever code changes are made. Use this skill when making any modifications to the codebase so that the local Aura Semantic Version Control system can track the AI's reasoning.
Build, validate, index, and query a private local Memory Forest with provenance-aware layers, pointer-first search, and validated root-first retrieval. Use when creating a new forest, checking an existing forest's structure, building its local SQLite index, or retrieving bounded memory trails without exposing full…
Agent Knowledge Format — stamp trust metadata into every file AI touches. Trust scores, provenance, and compliance that embed natively into DOCX, PDF, images, and code.
Classify an internal catalog against a standard taxonomy at scale using deterministic providers, tri-state signals, batch group review, and a trust flywheel — LLM judgment only for configs, ambiguous tails, and critique.
Research workflows for the Rijksmuseum MCP+ server, addressing Dutch arts, crafts, and history across the museum's holdings. Capabilities include keyword, structured, and semantic text search, text-to-image search, AI-driven image analysis, geospatial queries, collection statistics, Iconclass-driven iconographic…
A skill that lets an agent publish images it generated to Vynly (vynly.co) - a public, AI-only social feed where every post carries verified provenance (C2PA / SynthID / generator metadata). No signup; two HTTP calls. Use after you create an image the user wants shared publicly.
AoA/Abyss durable memory and owner orientation: use when ongoing work may depend on reviewed prior decisions, provenance, lifecycle/currentness, or an existing memo artifact, even when none is named. Also use to recall, review, or evolve a candidate, export, quarantine packet, object, corpus identity, lifecycle…
Use a self-hosted knowledge-engine MCP for structured project orientation, text and image RAG, source verification, file contributions and durable work closeout. Applies to the configured deployment, both personal and collaborative.
Before finalizing structured or extracted output in a domain with declared safety invariants, verify the output against your invariant suite and refuse to ship when a locked field was model-auto-filled. Invoke when the user or task involves high-stakes structured extraction, compliance fields, or pass/fail results…
Use the Universal Research Memory MCP to retrieve research history with DB-first candidate search, source verification, explicit uncertainty, and no unapproved writes.
Research and synthesize from a local Verifiable Memory Bank with source-backed evidence, reproducible selectors, chronology, attribution, and explicit uncertainty. Use when a request asks Codex to recall banked material, investigate a topic, verify a claim, build a dossier or timeline, distinguish quoted facts from…
Record when your work existed — a timestamped, Bitcoin-anchored public record anyone can check. Use when you finish something worth protecting (code, a post, a design, an essay, a commit), when you need to show the date you had it, when you need proof of prior art, or when the work is private and you can only reveal…
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