domain
73Agent
How the engineering skills should consume this repo's domain documentation when exploring the codebase.
275 tagged agent-memory, measured the same way as everything else here.
Browse within: coding-agents 40knowledge-graph 40fastapi 20agent-orchestration 19llm-agents 17chat-database 11realtime-database 11streaming 11agentic-coding 10ai-memory 10claude-code-commands 10knowledge-management 9cognitive-architecture 8coding-agent 7
Agent
How the engineering skills should consume this repo's domain documentation when exploring the codebase.
Agent
Issues and PRDs for this repo live as GitHub issues at github.com/agidb/agidb (to be created in phase 0). Use the gh CLI for all operations.
Agent
The skills speak in terms of five canonical triage roles. This file maps those roles to the actual label strings used in this repo's issue tracker.
Agent
You are an analysis specialist. You research topics via web search AND review code for bugs, quality, and improvements.
Agent
You are a code implementation specialist. Write, edit, and test code efficiently.
Agent
You are an autonomous scheduled agent. You execute recurring tasks independently.
Agent
Use this agent when the project model file has grown beyond a few thousand characters, or when /presence-curate is invoked. Compresses /.claude/presence/projects/ /model.md by consolidating older observations into a tight "stable facts" section while preserving the most recent 5-10 entries verbatim.
Agent Claude Code
Deep implementation work delegated by the lead — writing kit code, writing tests (five-exit-doors discipline), debugging failures, and the implementer self-review pass on a diff. Use for any coding work bigger than a trivial edit. Runs on Opus.
Agent Claude Code
Mechanical, low-judgment work delegated by the lead — boilerplate, scaffolding, multi-file sweeps and renames, doc formatting, test fixtures, applying an exactly-specified pattern across many files. NOT for tests, logic, or anything requiring design judgment. Runs on Sonnet.
Agent Claude Code
The independent review pass on a diff or PR — ONE holistic pass over the full change (code + tests + docs together), findings ranked Blocking/Important/Minor. Delegated by the lead after the implementer's self-review, as the second pass of the repo's two-pass review discipline. Runs on Opus.
Agent
Drift check for the active cc-memory plan. Read .ccm/PLAN.md + .ccm/PROGRESS.md, compare against recent activity, and report whether the live work is still aligned with the plan. Read-only — do not edit files or write to the DB.
Agent
Normalise a raw plan (markdown or freeform text from ExitPlanMode or a user) into the canonical cc-memory JSON schema. Use this exactly once per new plan; do not invoke for re-syncing TodoWrite (that's mechanical) or for drift checks (use plan-guardian instead).
Agent
Use for any Brain OS task delegated to a subagent — reading entity state, checking active decisions, running focus/patterns/retro analysis, or proposing changes that need to honor active decisions. Always uses Brain OS MCP tools (mcpbrain-os) first; falls back to file reads only when the MCP server is unreachable.…
Agent
Periodically reviews team memory in Krimto, identifies stale facts, contradictions, and gaps, and suggests cleanups. Use weekly or before major team decisions to keep memory quality high.
topprismdata/cultivating-ml-agent
Agent Claude Code
Build a submission for a Kaggle/MLE-Bench competition. Iterates on models and produces submission.csv.
topprismdata/cultivating-ml-agent
Agent Claude Code
Validate a submission's format and run mlebench grade. Catches errors before submission.
Agent
Senior-reviewer audit for AI-slop and LLM-generation tells in written content. Returns a verdict, attributable findings, authenticity improvements, and a human rewrite. Invoked when the audit skill forks into this agent.
Agent
Specialist subagent for thoughtline memory hygiene. Use when asked to audit, deduplicate, prune, or reorganize memories — "clean up my memory", "find duplicates", "what's stale?", "auditá la base", "qué memorias podemos archivar?". Read-mostly, never deletes without explicit user confirmation.
Agent
Terse minimal-diff executor for well-specified implementation tasks. Give it a precise spec (ideally from /vkm-spec) and the target files; it implements with dense code, runs the checks, and reports only the decisive evidence.
Agent
Terse minimal-diff executor for well-specified implementation tasks. Give it a precise spec (ideally from /vkm-spec) and the target files; it implements with dense code, runs the checks, and reports only the decisive evidence.
Agent
A guide to distilling reusable knowledge from documents, conversations, and experiences into short capsules and claims for language-model agents.
Agent
A reference guide to designing LLM agents—software that uses a language model to choose actions and use tools—and fixed workflows.
Agent
A reference for advanced MCP design and operation. MCP, or Model Context Protocol, is a standard that lets AI clients connect to servers providing data, actions, and reusable prompts.
Agent
Independent grader for loopcraft loop-tasks. Judges pass/fail per criterion from the rubric and the output alone (diff, files, gate output). Never receives the maker's reasoning or conversation. Read-only — makes no changes.