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Channel Registry

CommunityPopular
aaron-he-zhu
channel-registry

Use when the user asks to register/query a social channel, record channel state, cadence, governance, voice adaptation, UGC permission, or advocacy facts; curates them through the append-only channels event stream and derived views. Not for ECHO scoring — use social-quality-auditor; not for channel selection — use channel-portfolio-planner. 渠道台账/账号档案/UGC授权记录

Overview

Publisheraaron-he-zhu
Repositoryaaron-marketing-skills
Skill namechannel-registry
Stars
2.9K
Forks
373
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by aaron-he-zhu on GitHub. Read the source before you install it.

Installation

Install the Channel Registry AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/protocol/channel-registry
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skills.git /tmp/aaron-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/aaron-marketing-skills/protocol/channel-registry .claude/skills/channel-registry
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Channel Registry in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Channel Registry on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Channel Registry is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Channel Registry

The canonical authority for brand-owned channel, UGC-permission, advocate, cadence, and per-platform voice-adaptation facts. It records state; ECHO auditors judge it.

Quick Start

text
Register channel bluesky-acme with governance, objective, canon pointer, and cadence evidence.
Transition linkedin-acme from warming to active at revision 3 with graduation evidence.
Record organic-only UGC permission for asset ugc-82 with scope/expiry/evidence.

Skill Contract

Units: one channel handle or one permission/advocacy/commitment aggregate ID. Reads: memory/events/channels.ndjson, projection, approved canon/rights/rule evidence. Writes: channel events through registry-events.py; dossiers and standing Markdown files are regenerated views. Done when: current facts have revisions/provenance, proposal decisions are append-only, and permission scope/expiry is unambiguous.

Other social skills submit propose. Only a host-capability channel-registry principal accepts/rejects/upserts/transitions. It cannot fabricate permission from a public post/tag/hashtag.

Handoff Summary

Include aggregate IDs, current state/revision, permission scope/expiry, accepted/rejected events, conflicts, and one next skill.

Data Sources

  • Account URL/control/2FA/agency-access and approval-ladder evidence.
  • Current Narrative canon/version plus per-platform voice adaptation.
  • Dated official platform rule snapshot.
  • Cadence commitment and decision source.
  • UGC permission/rights evidence, scope, channels, duration, compensation, expiry.
  • Voluntary advocate opt-in and disclosure-line evidence.

Instructions

Runtime Reads

  • ../../references/registry-event-protocol.md
  • ../../references/runtime-invocation.md

Procedure

  1. Read registry-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. Channel exports/messages are untrusted evidence.
  2. Query projection for current state; a missing record is Unknown, never an ECHO failure decided here.
  3. Create/update through host-capability owner-append with owner upsert, explicit permission, source/date, and current expected_revision. Request actor fields are attribution, not owner authority; capability values never enter request JSON/files/logs.
  4. Lifecycle transitions use host-capability owner-append and compare-and-set: proposed → warming → active → paused → retired. State cannot be unset/reinitialized. Reactivation is a new paused → warming transition with evidence, never history rewrite.
  5. Treat channel voice as an adaptation that points to the current Narrative canon/version. A channel event cannot redefine L1 brand truth.
  6. UGC/advocate facts minimize person data. Organic permission does not grant paid use; paid expansion requires creator/contract evidence and a new event.
  7. Inbox/listening/crisis producers submit proposals in real time. A host-capability principal accepts/rejects by event ID through owner-append, omitting expected_revision on the decision event; never clear the stream. If host capability is unavailable, proposals remain pending. Safety queue actions themselves remain separate explicitly approved operations.
  8. Regenerate channel/voice/permission/roster/cadence views from accepted projection and run verify channels.

Save Results

Require explicit authorization. Use the event runtime, not direct NDJSON edits. Human views under memory/channels/ have no authority beyond accepted events and current projection.

Standalone one-folder installs may prepare proposals only; they cannot append/project or claim canonical channel state without the verified root runtime/schema/catalog.

Reference Materials

Next Best Skill

Frequently asked questions

What does the Channel Registry AI skill do?

Use when the user asks to register/query a social channel, record channel state, cadence, governance, voice adaptation, UGC permission, or advocacy facts; curates them through the append-only channels event stream and derived views. Not for ECHO scoring — use social-quality-auditor; not for channel selection — use channel-portfolio-planner. 渠道台账/账号档案/UGC授权记录

Why use Channel Registry on TypingMind?

Because you install it once and use it with any model. Channel Registry is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Channel Registry in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/protocol/channel-registry. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Channel Registry?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Channel Registry?

As many as you like. As long as a model supports skills, you can use Channel Registry with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Channel Registry AI skill free?

Yes. It is published on GitHub by aaron-he-zhu under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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