deepwork
High-cost orchestrator workflow for large, high-risk, multi-phase coding efforts with meaningful dependencies and review gates.
Skill by digitaleflex
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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Use cases: productivity
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What's inside
- Skill name
deepwork- Description
- High-cost orchestrator workflow for large, high-risk, multi-phase coding efforts with meaningful dependencies and review gates. Do not activate for routine multi-file changes.
- License
- MIT
- Instructions
- 155 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Deepwork Deepwork is an orchestrator workflow for heavy coding sessions. Use it only when the work is clearly large or high-risk: multiple dependent phases, cross-cutting architectural change, unsafe-to-partially-ship migration, or sustained coordination across several specialist lanes. Do not infer Deepwork merely because a task touches multiple files. Do not use it for trivial edits, quick docs changes, simple bug fixes, or routine bounded features. ## Core Contract When deepwork is active, the orchestrator must manage the work as a scheduler, not as the default implementation worker. ## Setup and Deepwork State - create and maintain a local markdown progress file under `.slim/deepwork/`; - save code/doc deliverables to project paths (e.g. `src/`, `docs/`); reserve `.slim/deepwork/` strictly for progress files; ### Deepwork File Create a task-specific file such as: ```text .slim/deepwork/<short-task-slug>.md ``` Before creating this file—and before planning or delegation—inspect the existing `.gitignore` and `.ignore`. Add only missing entries and do not add duplicates: ```gitignore # .gitignore .slim/deepwork/ ``` ```gitignore # .ignore !.slim/deepwork/ !.slim/deepwork/** ``` These rules keep deepwork state git-local while allowing OpenCode to read it. Do not follow a rigid template. Choose whatever markdown structure best fits the work. The file only needs to remain useful as persistent session state and should capture, as applicable: - current goal and understanding; - researched, factual context from `@librarian` to avoid oracle doing its own research; - plan drafts, Oracle review budget/gates, and review notes; - implementation phases and status; - validation results; - unresolved questions, blockers, and follow-ups. Update this file after major decisions, accepted research, reviews, phase completions, validation results, and scope changes. Record accepted findings and reference local files by path rather than copying their contents. ## Planning - draft a plan before implementation; - create a phased implementation/delegation plan; - before dispatch, choose a small number of coherent implementation phases from the work's dependencies and natural delivery boundaries; do not split work merely to reduce an Oracle review's scope; - before execution, define coherent delivery phases and make an `@oracle` review mandatory after each one; record the phase order, specialist ownership, gate order, and one-line gate rationale in the deepwork file; share a compact version with the user; - before starting each phase, replace the OpenCode todo list with actionable delivery todos for that phase only; ## Phase Execution - before each implementation phase, decide the execution path: what can run in parallel, what must be sequential, which specialists to delegate to, and whether to split the same agent into multiple bounded lanes; ### Scheduler Discipline Use the scheduler model throughout: - record task/session IDs and ownership boundaries; - wait for hook-driven background completion before consuming background results; - avoid blocking Orchestrator lane while background jobs run; if no independent work remains, stop briefly and let the completion event resume the workflow; - do not advance to the next phase while relevant jobs are running or terminal results are unreconciled. ## Phase Gate and Commit - after each planned phase, run relevant validation, update the deepwork file, then request its planned `@oracle` gate before continuing; - before its planned Oracle gate, record relevant accepted research and file references so Oracle reviews established context rather than repeating discovery; - record the phase goal, changed paths, validation evidence, and the specific decision or risk to review in the deepwork file; provide this context to Oracle with the accepted research and file references; - when the phase changes module boundaries, dependency direction, or file placement, run an `@explorer` structure scan in parallel with the Oracle gate; - reconcile review findings, perform one bounded remediation pass for material issues, and validate that pass with focused evidence; - create a focused commit when the phase is an independently valid delivery boundary before starting the next phase; ### Oracle Re-Reviews Every planned Oracle gate has one initial review and may have at most two re-reviews. Request a re-review only when the remediation materially changes the reviewed decision or risk, or when the original concern cannot be verified with focused evidence. Do not spend a re-review on a mechanical or already-verified change. State the attempt in every Oracle prompt, for example:
From digitaleflex/eurinhash-opencode-booster, MIT.
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Signals
- Stars
- 0
- Forks
- 2
- Open issues
- 64
- Last commit (this folder)
- Sep 6, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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deepwork skill. Agent Mart. https://agentmart.dev/skills/digitaleflex-deepwork (last updated 2026-10-24)