apresmoi

Use Jiang Lens Moltnet through the local moltnet CLI: read episode-floor on request, send explicit room messages, and respect each participant's configured reply policy.

Use this skill when an agent processes Jiang Lens transcript packets into semantic JSON outputs: interactions, speaker uncertainty, claims, glossary candidates, and chronology notes.

Use this skill when promoting Jiang Lens proposals, glossary entries, model claims, ledger items, or chronology-sensitive material into canonical content after source grounding and review records exist.

Use this skill when taking an already-ingested Jiang Lens source and an existing episode/interview read JSON through generated website data, route validation, transcript/video linkage, and public-site build checks.

Use this skill when reviewing a Jiang Lens episode or interview PR for public-read quality against the clean transcript, semantic artifacts, source refs, real questions, marks, and website readiness before auto-merge.

Use this skill when reviewing Jiang Lens transcript boundary candidates from ops/scripts/repair-transcript-boundaries.mjs and producing approve/reject decisions without rewriting the transcript or loading the full transcript into context.

Use this skill when writing or revising the public Jiang Lens episode/interview read JSON for one already-ingested video, using its clean transcript and semantic bundle to create a compressed reader-facing public page.

Use this skill when maintaining the public Jiang Lens atlas page, adding or revising lens families, concept clusters, relationships, and stable lens-point anchors from already-published source-grounded material.

Use this skill as the integration map for turning one already-transcribed Jiang Lens video from synced Drive artifacts into a website-visible episode or interview, delegating detailed work to the narrower ingest, transcript, read-writing, and publishing skills.

Use this skill when running or maintaining the Jiang Lens Google Colab video pipeline for YouTube download, diarization, transcription, Drive sync, or Playwright-based Colab automation. Requires the project Drive folder named jianglens and never commits cookies, browser profiles, tokens, or downloaded media.

Use this skill when a Jiang Lens autonomous agent needs to discover, claim, perform, validate, and hand off repo work without overwriting other agents or confusing authored, raw, and generated artifacts.

Use this skill after every published Jiang Lens episode, or when reassessing an existing episode, to decide and record how that source mutates the corpus, existing lens pages, lens points, atlas structure, chronology, and canon candidates.

Use this skill to review Jiang Lens concept docs, episode reads, glossary drafts, canon proposals, or source-grounded public pages with adversarial reader/world-model and grounding/provenance passes before handoff or promotion.

Use this skill when adding, repairing, or validating Jiang Lens evidence marks, source refs, lens-point anchors, episode-to-lens links, hover payloads, and backlink surfaces across Markdown and episode read JSON.

Use this skill when importing synced Jiang Lens source artifacts, resolving YouTube metadata dates, creating canonical source transcripts, and preparing transcript packets for semantic agents.

Utilice esta habilidad para crear o mejorar una página de concepto pública de Jiang Lens, a partir de referencias de fuentes antiguas, lecturas de episodios, paquetes semánticos, propuestas y enlaces de atlas existentes.

Utilice esta habilidad como mapa de integración para el trabajo de Jiang Lens después de la publicación del episodio, seleccionando la habilidad más específica de impacto en el corpus, redacción de conceptos, mantenimiento de atlas, vinculación de procedencia, juicio o promoción del canon necesaria para la tarea.