dojo

Onboard any codebase into the bp product blueprint. Checks which artifacts the repo already has (context map, app-structure v3 map, events, lens-scan store, registration) and produces only what is missing: a v3 map with domains, capabilities, features and evidence-based stages; an events log from git history; static metrics in the lens-scan store; LLM judgement facets for every lens a judge can…

1 skill

Create or refresh a repo's AGENTS.md so an agent joining the codebase gets commands, architecture and constraints without guessing. Use on a repo with no agent guidance, or when the existing file has gone stale.

1 skill

Heavy structural codebase scan - surfaces weak patterns to upgrade and strong patterns to codify, and proves whether the repo's own gates (lint rules, hooks, CI checks, type rules, test guards, ratchets) still fire, producing ADR-style decisions with a durable cross-session backlog. The highest-risk / highest-payoff scan in the suite; walks the context map area by area. Modes: scan (one theme…

1 skill

Give a project its first real CI gate, built only from commands the repo already declares, and ratcheted so it goes green on day one. Use when a repo has no CI, has CI that has never passed, or has CI nobody trusts.

1 skill

Run the exact checks CI enforces before you push, so a red pipeline is never how you find out. Use before every push, before opening a PR, and after an agent finishes a batch of edits.

1 skill

Turn a red build into a located first cause and a scoped fix proposal, without scrolling the whole log or weakening the check. Use when CI fails and you need the actual reason.

1 skill

Build, train, evaluate, and use open source AI models, datasets, and spaces.

26 skills · 1 MCP server

Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).

1 skill · hooks

Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.

10 skills · 2 commands · 3 agents

DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and external agent monitoring.

19 skills

Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub-init, /agenthub:spawn, /hub-status, /agenthub:eval, /agenthub:merge, /agenthub:board, /hub-run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.

8 skills · 1 agent · hooks

Text tokenization for LLMs including HuggingFace Tokenizers and SentencePiece. Use when training custom tokenizers or handling multilingual text.

98 skills