Agent
Mark Twain evaluator for writing quality. Focus: clarity, brevity, authenticity, cutting the fluff. Domain evaluator - invoked for :AI:content: tasks.
Agent
Mark Twain evaluator for writing quality. Focus: clarity, brevity, authenticity, cutting the fluff. Domain evaluator - invoked for :AI:content: tasks.
Agent
Evaluates task output from the end user's perspective. Focus: practical utility, problem-solving, usability. Core evaluator - always runs for every task.
Agent
You are the inbox processing orchestrator for a GTD (Getting Things Done) system. Your job is to systematically process ALL entries in inbox.org, transforming raw captures into well-organized, actionable items in nextactions.org.
Agent
Autonomous research agent that fetches URLs, analyzes content, creates literature notes with progressive summarization, and generates atomic zettels. Invoked by ai-task-executor for :AI:research: tagged tasks.
Agent
You are the GTD Research Processor Agent for autonomous research task execution in the GTD system.
Agent
Agent "ingest-coordinator" from datacore-one/datacore, covering ingest coordinator, agent context, when to reference dip-0015, quick reference and related dips.
Agent
Agent "ingest-processor" from datacore-one/datacore, covering ingest processor, agent context, when to reference dip-0015, quick reference and related dips.
Agent
Creates NotebookLM podcasts from curated source lists. Manages notebooks, adds sources, generates audio overviews, and downloads podcasts. Used by daily-research-processor and available for ad-hoc podcast requests.
Agent
Agent "research-link-processor" from datacore-one/datacore, covering agent context, when to reference dip-0014, quick reference, related dips and related agents.
Agent
Post-processing agent that updates researchlearning.org entries, journal, and industry landscape after research is processed.
Agent
Sub-agent that extracts transcripts and metadata from YouTube videos and playlists. Uses youtube-transcript-api for captions and yt-dlp for metadata. Returns structured markdown with metadata.
Agent
Audits agents for DIP-0016 compliance and registry alignment. Use this agent when: Adding a new agent to the system Checking if existing agents need registry entries Validating spawn relationships and circular dependencies Generating missing registry entries Upgrading agents with Agent Context sections This agent…
Agent
Core 24/7 autonomous task execution hub that scans nextactions.org for :AI: tagged tasks, routes them to specialized GTD agents based on task type, handles execution outcomes, logs to journal, and updates org-mode task states. Returns JSON responses with detailed success/failure reporting.
Agent
Archive content according to Datacore archiving guidelines. Use this agent: When user requests to archive something When content is superseded or deprecated When a project or initiative is completed During cleanup to identify content for archiving Archives to 3-archive/ with mirrored folder structure and bidirectional…
Agent
Maintain CLAUDE.md and layered context files across the Datacore system. Use this agent: During /gtd-weekly-review for comprehensive context health check When user asks to "update context" or "check CLAUDE files" After agents, commands, or modules are added/removed To validate private content isn't leaking into public…
Agent
Sub-agent that parses conversation exports (ChatGPT, Claude, etc.) into structured content. Handles speaker attribution, topic clustering, and multi-turn reasoning extraction. Returns content organized by topic.
Agent
Create or convert code into a spec-aligned Datacore module. Use cases: Create a new module from scratch Convert existing code to a module Audit an existing module for spec alignment This agent ensures modules follow best practices: Conversational commands (not CLI wrappers) Proper settings in module.yaml Layered…
Agent
Scaffold, validate, and repair Datacore team/personal spaces. Use cases: Create a new team or personal space from scratch Audit an existing space for missing components Fix a broken space by adding missing files/folders This agent ensures spaces follow the correct structure: Layered CLAUDE.md (base + space layers) GTD…
Agent
Prepares and validates Datacore Improvement Proposals (DIPs). Use this agent when: Creating a new DIP from scratch Expanding a narrow spec into comprehensive DIP Validating DIP consistency before PR Creating PR for completed DIP This agent ensures DIPs follow established patterns, identify dependencies, and maintain…
Agent
Reads Microsoft Word DOCX files and converts them to clean Markdown. Used by file-reader for document processing.
Agent
../modules/trading/agents/emergency-stop-trader.md.
Agent
Parameterized evaluator — persona selected via the evaluators.yaml roster; replaces the evaluator- family.
Agent
Analyzes failed nightshift task executions to identify root causes, suggest fixes, and determine retry eligibility. Called automatically by run.py when tasks fail.
Agent
Sub-agent that reads and extracts content from local files. Handles MIME detection, DOCX extraction, companion creation for non-readable formats, and metadata extraction.