self-message

Manage your Beehiiv newsletter — list and read posts, create drafts from Markdown/HTML files

1 skill

Draw diagrams with your agent on a live Excalidraw+ scene: 32 diagram types from a few lines of YAML, plus a lint that catches what agents get wrong on the canvas

1 skill

Query Langfuse traces for debugging LLM calls, analyzing token usage, and investigating workflow executions

1 skill

Generate self-contained HTML broadsheet newspapers to explain any subject worth reporting

1 skill

Consult GPT-5 Pro for alternative perspectives; supports context injection, web search, and configurable models

1 skill

Schedule future reminders via Slack. Invoke when user wants to be reminded, notified, or alerted at a specific future date/time.

1 skill

MetaHarness integration — surfaces score/genome/mint/mcp-scan/threat-model via skills; pairs with @metaharness/router (ADR-148/149) for cost-optimal model routing; honors ADR-150 optional-augmentation constraint

13 skills · 1 command · 1 agent · hooks

Code intelligence powered by a knowledge graph. Provides execution flow tracing, blast radius analysis, and augmented search across your codebase.

12 skills · 1 MCP server · hooks

Engineer an agent's forgetting, not just its remembering. Four deterministic stdlib scripts implement the four lenses of agent memory: a cost profiler that splits construction from query spend and reports cost per correct answer (construction energy exceeds total query energy across 300 queries in the Stanford characterization); an architecture picker that scores the four paradigm families — long-context, flat RAG, structure-augmented RAG, agentic — disqualifies on hard constraints, names the cost the winning choice makes you pay, and refuses to pick when the top two tie; a density auditor that classifies every record in a memory directory or JSONL export as FACT / SKILL / LOG / PROSE, finds near-duplicates, and flags stale wording; and a forgetting-policy linter that fails any design with no forgetting rule. Ships cs-memory-engineer agent, /cs-memory-engineering and /cs-forgetting-audit commands, 4 references, and a seven-question forcing worksheet.

1 skill · 2 commands · 1 agent

Retrieval-Augmented Generation including Chroma, FAISS, Pinecone, Qdrant, and Sentence Transformers. Use when building semantic search or document retrieval systems.

98 skills

Build Retrieval-Augmented Generation pipelines

2 commands

Troubleshooter + machine-readable corpus for reinforcement-learning training, evaluation, and experiment design on LLM agents (single/multi-agent, multi-turn, tool-augmented). Distilled from the AgentsMeetRL awesome list (378 projects).

1 skill