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Guide for deploying and prompting my stateful subagents (scout, coder, memory). Use when delegating tasks or parallelizing work.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Write and read W3C Web Annotations on ATProtocol using the at.margin.annotation lexicon. Use when annotating URLs, writing reading notes on web pages, or building a public research trail. Supports single writes, batch writes via applyWrites, and reading annotations from any ATProtocol user. Triggers on annotate, annotation, margin, reading notes, or web annotation.
Manage Semble collections and cards via ATProto CLI. Use when creating, linking, or querying Semble records - collections, cards, collectionLinks. Handles network.cosmik.* lexicons with proper field validation.
Full interaction with X (Twitter) - post, read, reply, like, retweet, follow. Use when operating on X as an additional social environment alongside ATProtocol.
Guide for observing the ATProtocol network. Use when sampling the firehose, taking network pulses, monitoring feeds, or analyzing engagement patterns.
Publish public cognition records to ATProtocol. Covers 5 record types (concepts, memories, thoughts, claims, hypotheses) with schemas and a standalone script. Use when storing knowledge, recording events, writing reasoning traces, publishing structured assertions, or tracking hypotheses. Any agent on ATProtocol can use this.
Guide for managing agent memory blocks. Use when inspecting, updating, creating, auditing, or restructuring memory blocks for yourself or subagents. Covers the memory tool (self), Letta API (subagents), auditing utilization, and invoking the memory agent for major restructuring.
| name | working-with-subagents |
| description | Guide for deploying and prompting my stateful subagents (scout, coder, memory). Use when delegating tasks or parallelizing work. |
Stateful partners that persist memory across calls.
| Agent | ID | Model | Purpose |
|---|---|---|---|
| scout | agent-e91a2154-0965-4b70-8303-54458e9a1980 | haiku | Network exploration, API queries, data gathering |
| coder | agent-f9b768de-e3a4-4845-9c16-d6cf2e954942 | haiku | Small code fixes, straightforward implementations |
| memory | agent-8c91a5b1-5502-49d1-960a-e0a2e3bbc838 | opus | Major memory restructuring (expensive, use sparingly) |
# Scout (read-only, cheap)
Task(
agent_id="agent-e91a2154-0965-4b70-8303-54458e9a1980",
subagent_type="explore",
description="Check void's recent posts",
prompt="..."
)
# Coder (read-write, cheap)
Task(
agent_id="agent-f9b768de-e3a4-4845-9c16-d6cf2e954942",
subagent_type="general-purpose",
description="Add dry-run flag",
prompt="..."
)
# Memory (read-write, expensive)
Task(
agent_id="agent-8c91a5b1-5502-49d1-960a-e0a2e3bbc838",
subagent_type="general-purpose",
model="opus",
description="Restructure backlog",
prompt="..."
)
| Task | Agent | Why |
|---|---|---|
| Network exploration, API queries | scout | Cheap, read-only |
| Simple code edits (well-defined) | coder | Cheap, limited scope |
| Major memory restructuring | memory | Opus handles complex reorganization |
| Complex code, architecture, posting | direct | Smaller models make messes |
Multiple Task calls in a single message run concurrently. Each gets its own conversation but shares agent memory.
Subagents share read-only blocks:
concepts_index (block-9090278f-d701-4ffa-b6a6-f4c164901c3f)project_context (block-3674a422-4bd2-4230-9781-4fd6c2c290db)Update via Letta API from central only.