Install
$ agentstack add skill-dailybothq-deepworkplan-skill-create ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
DeepWorkPlan — Create
Create a new Deep Work Plan through a smooth, unified flow: the developer provides information once, you generate a single refined draft, the developer reviews it, and you materialize the final plan under .dwp/plans/PLAN_{name}/.
> Single-step change (vs legacy): DeepWorkPlan generates the refined draft > directly. There is no separate raw-draft file. This replaces the legacy > draft → refined-draft two-step (which wrote PLAN_{name}_draft.md and then > PLAN_{name}_draft_refined.md). The only reviewable draft artifact is now > .dwp/drafts/PLAN_{name}_draft_refined.md.
Philosophy
The goal is a delightful, smooth experience. The user provides information once; the system handles all intermediate steps (refined-draft creation, review, final plan generation) automatically.
Shared resources (read these)
- [
../shared/context.sh](../shared/context.sh) — resolve repo root, branch,
agent tool, and the .dwp/ output location (dwp_dir).
- [
../shared/dwp-paths.md](../shared/dwp-paths.md) — the.dwp/plans/+
.dwp/drafts/ output convention.
- [
../shared/adaptation.md](../shared/adaptation.md) — reasoning-over-copy-paste
and the two repository archetypes (individual repo vs orchestrator hub).
- [
../guide/GUIDE.md](../guide/GUIDE.md) — the full methodology: plan README
structure, task-file anatomy, mandatory final tasks, orchestrator (§13), team agents (§14).
- [
../examples/CREATE_PLAN.md](../examples/CREATE_PLAN.md) — prompt patterns. - [
../examples/PROMPTS_TEMPLATE.md](../examples/PROMPTS_TEMPLATE.md) — the
PROMPTS.md template for each plan.
Parameter Reference
| Input | Classification | Mode | Behavior | Example | |-------|---------------|------|----------|---------| | (none) | — | guided | Ask for name, then ask questions | /dwp-create | | {short text} | name-only | guided | Extract name, ask questions immediately | /dwp-create improve error handling | | {long text} | full-context | guided | Infer name, proceed to refined draft directly | /dwp-create Refactor auth to use JWT across all services. Currently using sessions... | | trust or auto | — | trust | Ask for name, then ask questions (no confirmations) | /dwp-create trust | | {short text} trust | name-only | trust | Extract name, ask questions (no confirmations) | /dwp-create improve-error-handling trust | | {long text} trust | full-context | trust | Infer name, proceed directly (no confirmations) | /dwp-create Refactor auth... trust | | refined-draft {name} | — | refined-draft-only | Produce ONLY the refined draft (no final plan) | /dwp-create refined-draft my_plan | | from-refined-draft {file} | — | from-refined-draft | Build final plan from an existing refined draft | /dwp-create from-refined-draft PLAN_x_draft_refined.md | | from {file} | — | from-refined-draft | Alias for from-refined-draft | /dwp-create from PLAN_x_draft_refined.md |
> Name format: users type names in any format; you auto-convert to > snake_case internally.
Modes
Guided Mode (default)
- Collects information from the user.
- Creates the refined draft → shows it for review.
- Asks for confirmation before creating the final plan.
- User can request adjustments before final generation.
Trust Mode (trust or auto)
- Collects information from the user.
- Creates the refined draft → final plan automatically (no intermediate
confirmations).
Unified Workflow
Step 0 — Parse Parameters & Determine Mode
0.1 Detect trust mode: if the LAST word is trust or auto, remove it and set trust_mode = true; otherwise false.
0.2 Detect special modes (check FIRST word):
refined-draft→mode = "refined-draft-only", remaining text = plan name.from-refined-draftorfrom→mode = "from-refined-draft", remaining text
= refined-draft file path.
- Otherwise → continue to input classification (0.3).
0.3 Classify remaining input:
| Condition | Classification | What to do | |-----------|---------------|------------| | No remaining text | no input | Go to Step 1, then Step 2 (ask for name + all info) | | ≤10 words AND no complete sentences AND no line breaks | name-only | Convert to snakecase → plan name. Go to Step 1, then Step 2 (skip name question) | | >10 words OR detailed sentences OR line breaks | full-context | Infer plan name → snakecase. Go to Step 1, then Step 3 (use provided context) |
Name auto-conversion to snake_case: lowercase; replace hyphens/spaces with _; strip everything but a-z0-9_. Examples: improve Feature X → improve_feature_x, add-stripe-payments → add_stripe_payments.
> CRITICAL: when input is name-only, NEVER explore the codebase or > research the topic before asking questions. The name only says what to CALL the > plan, not what to DO. Go directly to Step 2.
Routing by mode:
from-refined-draft→ skip to Step 4.3.refined-draft-only→ gather info, create only the refined draft, skip final
plan creation.
no input/name-only→ Step 1, then Step 2.full-context→ Step 1, then Step 3.
Step 1 — Quick Introduction
Show a brief intro matching the mode (guided vs trust): what will happen and that you'll create a refined plan, review it (guided) or proceed (trust), then generate the final executable plan.
Step 2 — Gather Information (Conversational)
> Skip this entire step for full-context input — go straight to Step 3.
Collect, conversationally:
- 2.1 Plan name (skip if already extracted) — auto-convert to snake_case, add
PLAN_ prefix internally.
- 2.2 Objective — one or two sentences.
- 2.3 Context — where the changes live, constraints/rules, tech notes.
- 2.4 Tasks — at least 2; if only 1, suggest breaking it down.
- 2.5 Guidelines (optional) — branch/commit format, coverage target, etc.
2.6 Orchestrator detection (automatic). After 2.3–2.4, auto-detect an orchestrator plan when: the work spans 2+ sub-repositories with independent feature work, or the user explicitly mentions child DWPs / orchestrator / "create plans in each repo". If detected, offer the choice between an orchestrator plan (creates child DWPs per repo, each following its own AGENTS.md) and a direct multi-project plan. See ../guide/GUIDE.md §13 and ../shared/adaptation.md (orchestrator-hub archetype).
2.7–2.9 (orchestrator only): ask for target repositories (note each repo root — for an orchestrator hub this is repositories/{repo}/), dependency order, and execution mode (Distributed / Sequential with Output Handoff / Sequential basic). Default to Distributed.
2.10 Team-agents detection (automatic — always runs, non-orchestrator plans). Always analyze whether 2+ tasks touch different files/modules with no data dependencies and would benefit from parallel execution. This is NOT opt-in.
- If parallelizable: in guided mode, inform the user (do not ask) and add the
team-agents configuration; in trust mode, do it silently. Team-agents metadata is always additive and backward compatible (other agents ignore it).
- Auto-assign parallel groups (tasks with no cross-dependencies), teammate roles
(derived from task content), and default model sonnet. Setup/integration and the three mandatory final tasks are always sequential.
- If not parallelizable: add nothing, mention nothing.
Step 2.11 — Parallel Research Phase (Claude Code only, automatic). Before drafting, if the plan spans 2+ repos or several independent modules and context isn't already provided, spawn research teammates (subagent_type: "Explore", one per repo/area) to read each AGENTS.md, identify relevant files, contracts, and validation commands, then synthesize their findings into enriched context for the refined draft. Skip for simple/single-module plans or full-context input. Fallback: research sequentially if team agents are unavailable. In trust mode, run silently.
Step 3 — Create the Refined Draft (Automatic, SINGLE STEP)
> This is the single-step change. Produce the refined draft directly — > one file, written straight to .dwp/drafts/. Do NOT create a separate raw > PLAN_{name}_draft.md first.
Show a 2-step progress UI:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Creating your plan...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[1/2] Drafting refined plan...
3.1 Write the refined draft:
- Resolve
dwp_dirvia../shared/context.sh; ensure/drafts/exists. - Compose a professional, complete plan prompt following
../examples/CREATE_PLAN.md: objective, context (enriched with Step 2.11 research if applicable), well-formed tasks, guidelines. Expand every section with full detail and clarity in one pass.
- Write only:
.dwp/drafts/PLAN_{name}_draft_refined.md.
[1/2] Drafting refined plan... ✓
[2/2] Preparing for review...
Step 4 — Review & Create Final Plan
4.1 Guided Mode — Show for Review
Present a summary (objective, task count + list, location, constraints) and the path → .dwp/drafts/PLAN_{name}_draft_refined.md, then offer:
- Looks good, create the final plan → Step 4.4.
- Make adjustments → ask what to change, edit the refined draft in place,
show the menu again.
- Show the full refined draft → display it, then re-show the menu.
- Stop here → completion message for the draft phase.
4.2 Trust Mode — Automatic Continue
Skip review; go directly to Step 4.4. Progress: [2/2] Creating final plan....
4.3 From-Refined-Draft Mode
- Validate the file exists in
.dwp/drafts/. If not found, list available
refined drafts and ask the user to select.
- Read it; extract plan name, objective, context, tasks, guidelines.
- Skip to Step 4.4.
4.4 Create Final Plan
Follow ../guide/GUIDE.md. Create:
- Folder:
.dwp/plans/PLAN_{name}/ - README.md — Goal; Context; Plan Variables (optional); Global Guidelines;
Task List with [ ] checkboxes + links (including the three mandatory final tasks); Execution Rules; Skills & Agents Used; Plan Status / Notes; Analysis Outputs (referencing EXECUTIVE_REPORT.md); Quick Reference to PROMPTS.md.
- PROMPTS.md — from
../examples/PROMPTS_TEMPLATE.md, replacing
{PLAN_NAME}.
- PROGRESS.md — initial template (Task Summaries / Key Decisions / Important
Values & Paths).
- analysis_results/ — empty folder inside the plan directory.
- User-defined task files —
N.task_{title}.md, each with Context, Read
Before Starting (optional), Goal, Instructions (with re-anchoring), Acceptance Criteria, Outputs (optional), Validation, Rollback (optional), Execution Checklist, Completion & Log. For any task that adds new core functionality or changes product behavior, bake the test discipline into it (../guide/GUIDE.md §5.3): its Acceptance Criteria must require automated test coverage for the new/changed behavior, and its Validation must run the repo's tests plus lint/type-check/format checks (not the build alone). Where related work is substantial, prefer a dedicated N.task_add_tests_for_{feature}.md task right after the implementation task. Likewise, for any task that touches auth, input handling, secrets/config, network surface, or dependencies, bake the security discipline into it (../guide/GUIDE.md §5.4); where the security-sensitive work is substantial, prefer a dedicated N.task_security_hardening_{feature}.md task placed after the implementation tasks and before the comprehensive-tests task, so findings are fixed before tests encode the behavior and become regression test cases rather than rework.
- State layer (RECOMMENDED,
../spec/PLAN_STATE.md) — write
manifest.json (plan identity: name, archetype, rigor tier, spec version, task count, creating agent — once, never edited after) and the initial state.json (every task pending, empty gates). Both atomically (write-temp-then-rename). REQUIRED when the plan will run unattended (../spec/AGENT_PROTOCOL.md §7.2) or the workspace has no git.
Proportional rigor check first (../spec/DWP_SPECIFICATION.md §11): before materializing anything, confirm the work actually warrants a plan. A trivial single-concern change is micro tier — say that a plan is disproportionate, offer to state goal + acceptance criteria + validation gate inline and just do it. Declare the chosen tier (standard or deep) and why in the refined draft.
Three mandatory final tasks (always):
- Security Review (MANDATORY, third-to-last, task
N-2,
{N-2}.task_security_review.md): reviews the plan's full accumulated diff for hardcoded secrets, injection risks, unsafe input handling, new attack surface, and auth/permission changes; audits dependencies the plan introduced (best-effort, with the ecosystem's audit tooling where available); verifies docs/SECURITY.md still reflects reality and updates it when the plan changed secrets handling, the auth model, or data boundaries; writes analysis_results/SECURITY_REVIEW.md even when clean. A critical finding blocks completion until fixed or explicitly accepted by the user (../spec/DWP_SPECIFICATION.md §6.1).
- Skills & Agents Discovery (MANDATORY, second-to-last, task
N-1,
{N-1}.task_skills_agents_discovery.md): reviews completed tasks for new patterns, checks the catalog, creates/updates skills/agents if warranted, evaluates the skills-generator system. If no skills-generator exists in the target repo, write a simplified evaluate-and-document-only version.
- Executive Report (MANDATORY, last, task
N,
{N}.task_executive_report.md): generates analysis_results/EXECUTIVE_REPORT.md with Executive Summary, Product Impact, Technical Details, QA Verification Guide, FAQs, Next Steps.
Add to the README a note: "Every plan includes Security Review (third-to-last), Skills & Agents Discovery (second-to-last), and Executive Report (last). These are auto-generated by /dwp-create."
Quality gates: atomic, ordered tasks; both mandatory files present; analysis_results/ exists; PROGRESS.md exists; numbering correct (user tasks → security review → skills discovery → executive report); behavior-changing tasks carry test coverage in their Acceptance Criteria and tests + lint/type-check in their Validation (../guide/GUIDE.md §5.3).
Accelerate generation with team agents (Claude Code only, automatic): for 5+ user-defined task files, the lead creates README/PROMPTS/PROGRESS/ analysis_results + the mandatory final task files, then spawns teammates (1 per 2–3 task files) to write user task files in parallel (no file overlap), verifies all files, and cleans up. Fallback: generate sequentially.
Orchestrator additions (orchestrator plans):
- README Child DWP Plans table (`# | Repository | Child Plan | Status |
Depends On`), an Execution Mode subsection, and Dependency Rules.
- ORCHESTRATOR_MANIFEST.md at
.dwp/plans/PLAN_{name}/ORCHESTRATOR_MANIFEST.md
(template in ../guide/GUIDE.md §13.8): Shared Context, Child DWP Registry, Dependency Graph, Output Contracts, Execution State.
- Task files: direct design tasks first (if hybrid); then
create_child_dwp
tasks in dependency order (template ../examples/ORCHESTRATOR_TASK_TEMPLATE_create_child_dwp.md); optional integration_checkpoint tasks (../examples/ORCHESTRATOR_TASK_TEMPLATE_integration_checkpoint.md); execute_child_dwp tasks for Sequential-with-Output-Handoff mode (../examples/ORCHESTRATOR_TASK_TEMPLATE_execute_child_dwp.md); then the two mandatory final tasks last. Each create_child_dwp task instructs the agent to navigate to the target repo, read its AGENTS.md, and create a child DWP at repositories/{repo}/.dwp/plans/PLAN_{child}/ using tha
…
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: DailybotHQ
- Source: DailybotHQ/deepworkplan-skill
- License: MIT
- Homepage: https://deepworkplan.com/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.