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DeepWorkPlan — turn any repo AI-first and run Deep Work Plans. Routes to create, execute, refine, resume, status, verify, upgrade, and repo-onboarding sub-skills based on intent. Use when the developer wants to plan, execute, manage, or verify structured multi-task work, or make a repository AI-agent-ready.
deepworkplan is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # DeepWorkPlan — Methodology Skill (Router) Models matter; context matters more. The **DeepWorkPlan** skill turns any repository into a structured environment —. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding deepworkplan to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install j-mauro-r/SAT-Dengue-V2Review the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# DeepWorkPlan — Methodology Skill (Router) Models matter; context matters more. The **DeepWorkPlan** skill turns any repository into a structured environment — context, guardrails