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Code-heavy guide for managing yourself and subagents via the Letta Python client. Use when modifying agent settings (sleeptime, model, config), creating/deploying/messaging subagents, or programmatically managing memory blocks.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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 | using-letta-api |
| description | Code-heavy guide for managing yourself and subagents via the Letta Python client. Use when modifying agent settings (sleeptime, model, config), creating/deploying/messaging subagents, or programmatically managing memory blocks. |
This skill provides runnable Python snippets for self-modification via the Letta API.
from letta_client import Letta
client = Letta(base_url='https://api.letta.com')
# Your agent ID (from environment or hardcoded)
import os
AGENT_ID = os.environ.get('LETTA_AGENT_ID', 'agent-xxx')
| Task | Reference File |
|---|---|
| Disable sleeptime, change model, update config | self-management.md |
| Create, deploy, message subagents | subagents.md |
| List, create, update, delete memory blocks | memory-blocks.md |
client.agents.update(AGENT_ID, enable_sleeptime=False)
response = client.agents.messages.create(
agent_id='agent-xxx-subagent-id',
messages=[{'role': 'user', 'content': 'Your task here'}]
)
print(response.messages[-1].content)
client.agents.blocks.update(
'block-label',
agent_id=AGENT_ID,
value='New content here'
)
| Method | Use When |
|---|---|
| Letta API | Modifying subagents, agent config, programmatic block updates |
| memfs (file edits) | Updating your own memory blocks (auto-syncs) |
| Task tool | Deploying subagents for work (preferred for most tasks) |
Load the reference files as needed for detailed patterns.