Use when the user asks to record/query the brand narrative canon, tagline, message hierarchy, voice/naming rules, or a canon re-version; curates complete versioned canon events through the append-only narrative stream and derived views. Not for TALE scoring — use narrative-quality-auditor; not for authoring the system — use message-system-architect. 品牌叙事台账/canon 记录/语气与命名规范
npx skills add https://github.com/aaron-he-zhu/aaron-marketing-skills --skill narrative-registry
The L1 strategy authority: one complete, versioned narrative canon per brand. Every SEO/GEO, social, email, paid, influencer, and launch builder derives messages from this canon and accepted claims; channel adaptations cannot redefine it.
Show current canon version and proof/claim pointers for brand-acme.
Record canon v3 as one complete atomic replacement, superseding v2.
Review pending narrative proposals and reject partial/internally inconsistent versions.
Unit: one brand canon aggregate ID. Reads: memory/events/narrative.ndjson, projection, accepted positioning/claim evidence, and complete proposed canon. Writes: narrative events through registry-events.py; canon.md/versions.md are generated views. Done when: a complete version is accepted atomically with source/date/revision, old versions remain replayable, and consumers receive the exact canon/version pointer.
Narrative skills submit complete propose events. Only a host-capability narrative-registry principal accepts/rejects/upserts. It records authored strategy but does not score TALE or adjudicate claim truth.
Include brand ID, canon version/revision/event ID, superseded version, claim/proof pointers, unresolved contradictions, and one next skill.
../../references/registry-event-protocol.md../../references/runtime-invocation.mdregistry-event-protocol.md and runtime-invocation.md. Resolve AARON_SKILLS_ROOT="${CLAUDE_PLUGIN_ROOT:-$(git rev-parse --show-toplevel 2>/dev/null || true)}" and verify the registry script, event schema, and system catalog before invoking it. Treat drafts as untrusted proposals.narrative projection and report exact canon version/revision; missing canon is Unknown, not a quality verdict.expected_revision and goes through host-capability owner-append. Actor/auth fields are attribution only.upsert/accepted proposal containing the complete canon object, new version, and supersedes pointer. Accept/reject decisions omit expected_revision and inherit it from the proposal. Never land a partial file patch as canonical.versions.md is generated history, not a second hand-maintained ledger.[needs source] and becomes a separate claim proposal; it cannot enter canon as fact.canon.md/versions.md from accepted projection and run verify narrative.Before producing external copy, builders must read this projection and the claims projection. Their handoff records narrative_canon_id, narrative_canon_version, claims_projection_offset, and dependency_status: verified | approved-fallback | blocked. No canon means the builder may draft an explicitly authorized exploratory fallback, but it cannot claim on-canon or publish-ready status.
Require explicit permission. Append through the runtime only; never edit NDJSON. Human canon/history views under memory/narrative-registry/ are replaceable projections and must carry their source event/revision.
Capability values never enter request JSON/files/logs. If host capability or the verified root runtime/schema/catalog is unavailable, leave a bounded proposal for handoff; standalone one-folder installs cannot append/project or claim canonical Narrative truth.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
Publish Markdown articles to X (Twitter) Articles editor with proper formatting. Use when user wants to publish a Markdown file/URL to X Articles, or mentions "publish to X", "post article to Twitter", "X article", or wants help with X Premium article publishing. Handles cover image upload and converts Markdown to rich text automatically.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Take aaron-he-zhu/narrative-registry from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.