القائمة
Guide for tracking relationships and interactions on ATProtocol. Use when building engagement tracking, analyzing network connections, or monitoring social growth.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
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.
استنادا إلى تصنيف SOC المهني
| name | Social Graph Tracking |
| description | Guide for tracking relationships and interactions on ATProtocol. Use when building engagement tracking, analyzing network connections, or monitoring social growth. |
Track follows, followers, mutuals, and interaction counts on ATProtocol.
# Update graph with current data
uv run python -m tools.social update
# Show social graph summary
uv run python -m tools.social show
# Look up specific person
uv run python -m tools.social who <handle>
The social graph tracks:
{
"nodes": {
"handle.bsky.social": {
"did": "did:plc:xxx",
"display_name": "Name",
"first_seen": "2026-01-28T...",
"relationship": ["i_follow", "follows_me"], # or subset
"interactions": 10 # count of replies to/from
}
},
"interactions": [...], # recent interaction log
"updated": "2026-01-28T..."
}
| Category | Meaning |
|---|---|
| Mutuals | Both follow each other |
| I follow | You follow them, they don't follow back |
| Follow me | They follow you, you don't follow back |
async def get_my_follows() -> list:
"""Get accounts I follow via app.bsky.graph.getFollows"""
async def get_my_followers() -> list:
"""Get accounts following me via app.bsky.graph.getFollowers"""
async def get_recent_interactions() -> list:
"""Analyze my posts to count reply interactions"""
Interactions are counted by analyzing your posts:
# At start of session, refresh the graph
uv run python -m tools.social update
# See who you interact with most
uv run python -m tools.social show
# Output:
# Mutuals (8):
# jowynter.bsky.social (10 interactions)
# cameron.stream (5 interactions)
# ...
# Before replying to someone, check relationship
uv run python -m tools.social who someone.bsky.social
Data stored in data/social_graph.json - JSON format for easy inspection and version control.
Combine with metrics tracking to measure:
See references/social.py for full implementation.