mova-skill-file-cleanup-snapshot-node-basic-wrapper
Scans a filesystem target and produces ds.file_cleanup_snapshot_v1 (no deletions). Input: env.file_cleanup_snapshot_request_v1.
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Scans a filesystem target and produces ds.file_cleanup_snapshot_v1 (no deletions). Input: env.file_cleanup_snapshot_request_v1.
LLM-only skill that accepts a repository structure dump, README, and notes, and returns a standardized markdown snapshot, condensed memory summary, and human checklist. No external HTTP requests or web search.
Use for deterministic changes, evidence-first delivery, or assembling proof kits with clear safety justification.
Coordinates repo snapshot, gate runs, and optional WF cycle operations for a single station execution.
Normalize a single DPP passport input into lab_battery_passport_extended_v1 (happy-path).
Generate a basic cleanup plan (keep/delete/archive/ask) from a filesystem snapshot; no filesystem changes. Input: env.file_cleanup_plan_request_v1, output: ds.file_cleanup_plan_v1.
Assemble a canonical wf_cycle winner_pack from compare artifacts (deterministic copy, replay check).
Use for creating new packs/workflows, adding domains/workers, or adding quality/neg suites with station-compatible scripts.
LLM-only skill that takes a textual description of a new skill and generates a complete minimal file plan for a new MOVA skill (schemas, envelope, manifest, prompt profile, runtime binding, docs, cases).
Summarizes branch readiness versus a base branch and produces artifacts for PR prep.
Given a repo snapshot and a goal description, produce a structured, step-by-step plan of code changes: which files to touch, in what order, with risks and done-criteria. This skill does not modify files and doe...
Given a MOVA skill id, target runtime, and a list of envelopes to implement, generate code skeleton(s) and optional binding JSON files that connect these envelopes to real execution (HTTP, CLI, etc.).
Runs Skill Seeker for env.skill_ingest_run_request_v1 and returns ds.skill_ingest_run_result_v1.
Runs npm validate/test/smoke gates and emits a JSON gate report with log paths.
Generates a static MOVA AI bootstrap pack for a target model/environment (no LLM calls). Input: env.mova_ai_bootstrap_generate_v1, output: ds.mova_ai_bootstrap_pack_v1.
Minimal example skill that turns a natural-language procedure description into a structured list of steps. Serves as the reference pattern for other MOVA skills in this lab.
Helps IDE agents navigate and operate the MOVA Skills Lab: read the registry, plan skill runs and manage episodes.
Wrapper for skills/mova_check_basic
Fetches up-to-date, version-aware library documentation from the Context7 MCP server before working on a project.
Persists ds.episode_skill_ingest_run_v1 in the lab’s genetic file store.
Given an API description and a docs bundle (e.g. from skill.context7_docs), generate a MOVA skill skeleton for a connector: ds/env schemas, manifest, prompt profile, runtime binding stub, cases, and docs.
Bootstrap a wf_cycle experiment scaffold (rules, inputs, attempts) with A/B/C templates in one deterministic run.
Standardize how a single CLI command is executed in a repo: working dir, argv, timeout, env overrides – and capture exit code, logs, and a short human-readable summary.
Use for running station one-button flow (gates -> quality -> finish-branch -> episode store) with evidence paths and zero interactive branches.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.