Persistent memory and task coordination for this project. Invoke for any prompt about past work, project state, in-progress tasks, prior decisions, gotchas, or capturing a non-obvious learning. Also covers semantic search across project knowledge and external docs.
Audit recent agent transcripts (Claude Code and Codex) to learn how a tool, system, or skill is actually being used in the wild. Surfaces failure modes, friction, success patterns, and concrete improvement candidates from real session data. Use this when you want to improve a developer-facing system that agents…
Generate a comprehensive retrospective for a (model, lane) pair that maps the explored search space, identifies coverage gaps from the topic taxonomy (model-optimization-index.md) and Pallas kernel catalog, surfaces premature-exhaustion signals (single-axis-probe vs kernel-port imbalance, frontier-stuck duration), and…
Generate a structured optimization hypothesis for the autoresearch loop. Walks three layers — (1) the generic wiki/model-optimization-index.md for TPU envelope data + topic pointers + cross-model refuted-pattern principles, (2) the generic wiki/model-optimization-blueprint.md for ladder-keyed phase ordering +…
Start the autoresearch optimization loop for a specific model + lane. Resolves the hierarchical program.md (root → model → lane), asks the user for hardware (local TPU VM or GKE cluster of a specified TPU type + topology), discovers available clusters from .env/, checks occupancy with USERPREFIX-aware attribution…
Apply at the start of a build or coding session on a Curator-tracked project, and again as your own context fills, without waiting to be asked. Activates on "continue", "resume", "where did we leave off", "pick up where we left off", "what were we working on", "catch me up on this project", and on the save side "save…
Use when interacting with the user's My Curator second brain via the my-curator MCP. Activates for READ ("what does my wiki say about X", "what do I know about X", "search my notes", "deep research my second brain", "find every source that mentions Y", "what does our cohort wiki say"), WRITE ("save to my wiki"…
A business-analysis skill that links business events in reports, plans, release notes, or conversations with an unusual metric change. It produces and ranks possible causes supported by the available evidence.
A business-analysis skill that places similar business objects—such as users, products, or shops—into groups. It can use a two-by-two matrix based on two measures or clustering based on several features.
A workflow that turns a plain-language request for business data into a database query, runs it in a data warehouse or lake, and returns the results for analysis.
Persistent cognitive memory for AI agents — query, record, review, and consolidate knowledge across sessions with spreading activation, FSRS scheduling, and NLI contradiction detection.
Execute Python code in a safe sandboxed environment via inference.sh. Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF…
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
A guided conversation method for building a psychological profile and a record of a person’s current life situation. It covers seven areas such as growth, health, surroundings, relationships, work, money and purpose.
Build a small HTTP app (dashboard, kanban board, admin panel, custom UI) on top of an existing Binder workspace. Use when asked to "create an app", "build a dashboard", "show records in a chart", "make a kanban/board", "build an admin panel", or "add a UI on top of binder".
Import external data into a Binder workspace. Handles CSV, JSON, YAML, Markdown files, and directories of Markdown. Use when asked to "import data", "load records from a file", "ingest documents", "migrate data into binder", or bulk-create records from an external source.
Binder data modeling — define entity types, fields, relations, constraints, views, and navigation. Use when asked to "create a type", "add a field", "define a schema", "set up relations", "model entities", "create a view", "set up navigation", "render entities as files", or design a binder workspace schema.
Install the official Waggle plugin locally for Codex from the latest stable Abhigyan-Shekhar/Waggle-mcp GitHub Release. Use for explicit requests such as "Install Waggle", "Set up Waggle", "Install Waggle for Codex", or "Enable Waggle". Do not use for Waggle operation, repair, updates, configuration, or memory…
Use Waggle automatically as portable, local project memory during meaningful coding work; retrieve prior decisions and constraints, then store only durable outcomes.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: