eve
Build durable backend AI agents with the eve framework. Use when creating, editing, or debugging an eve project — agent instructions, skills, tools, connections, channels, sandboxes, subagents, schedules, or evals.
Works with
--- name: eve description: Build durable backend AI agents with the eve framework. Use when creating, editing, or debugging an eve project — agent instructions, skills, tools, connections, channels, sandboxes, subagents, schedules, or evals. license: Apache-2.0 --- # eve eve is a filesystem-first framework for durable backend AI agents. An agent is a directory on disk — instructions, skills, tools, connections, channels, subagents, and schedules are all files — and eve compiles and runs it. ## Source of truth The complete documentation ships inside the `eve` package. Do not rely on this skill for guidance — always read the bundled docs, which match the installed version exactly: ``` node_modules/eve/docs/ ``` Start with `node_modules/eve/docs/README.md`. It contains the full index and recommended reading order. Before writing any eve code, read the relevant guide there first. If `eve` is not installed yet, install it (`npm install eve`) or scaffold a new agent with `npx eve init <agent-name>`, then read the bundled docs.
More Debugging skills
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.
