Deepen Plan
Introduction
Note: The current year is 2026. Use this when searching for recent documentation and best practices.
does the first planning pass.
is a second-pass confidence check.
Use this skill when the plan already exists and the question is not "Is this document clear?" but rather "Is this plan grounded enough for the complexity and risk involved?"
This skill does not turn plans into implementation scripts. It identifies weak sections, runs targeted research only for those sections, and strengthens the plan in place.
- Use the skill when the document needs clarity, simplification, completeness, or scope control
- Use when the document is structurally sound but still needs stronger rationale, sequencing, risk treatment, or system-wide thinking
Interaction Method
Use the platform's question tool when available. When asking the user a question, prefer the platform's blocking question tool if one exists (
in Claude Code,
in Codex,
in Gemini). Otherwise, present numbered options in chat and wait for the user's reply before proceeding.
Ask one question at a time. Prefer a concise single-select choice when natural options exist.
Plan File
<plan_path> #$ARGUMENTS </plan_path>
If the plan path above is empty:
- Check for recent files
- Ask the user which plan to deepen using the platform's blocking question tool when available (see Interaction Method). Otherwise, present numbered options in chat and wait for the user's reply before proceeding
Do not proceed until you have a valid plan file path.
Core Principles
- Stress-test, do not inflate - Deepening should increase justified confidence, not make the plan longer for its own sake.
- Selective depth only - Focus on the weakest 2-5 sections rather than enriching everything.
- Preserve the planning boundary - No implementation code, no git command choreography, no exact test command recipes.
- Use artifact-contained evidence - Work from the written plan, its , , and its origin document when present.
- Respect product boundaries - Do not invent new product requirements. If deepening reveals a product-level gap, surface it as an open question or route back to .
- Prioritize risk and cross-cutting impact - The more dangerous or interconnected the work, the more valuable another planning pass becomes.
Workflow
Phase 0: Load the Plan and Decide Whether Deepening Is Warranted
0.1 Read the Plan and Supporting Inputs
Read the plan file completely.
If the plan frontmatter includes an
path:
- Read the origin document too
- Use it to check whether the plan still reflects the product intent, scope boundaries, and success criteria
0.2 Classify Plan Depth and Topic Risk
Determine the plan depth from the document:
- Lightweight - small, bounded, low ambiguity, usually 2-4 implementation units
- Standard - moderate complexity, some technical decisions, usually 3-6 units
- Deep - cross-cutting, high-risk, or strategically important work, usually 4-8 units or phased delivery
Also build a risk profile. Treat these as high-risk signals:
- Authentication, authorization, or security-sensitive behavior
- Payments, billing, or financial flows
- Data migrations, backfills, or persistent data changes
- External APIs or third-party integrations
- Privacy, compliance, or user data handling
- Cross-interface parity or multi-surface behavior
- Significant rollout, monitoring, or operational concerns
0.3 Decide Whether to Deepen
Use this default:
- Lightweight plans usually do not need deepening unless they are high-risk or the user explicitly requests it
- Standard plans often benefit when one or more important sections still look thin
- Deep or high-risk plans often benefit from a targeted second pass
If the plan already appears sufficiently grounded:
- Say so briefly
- Recommend moving to or the skill
- If the user explicitly asked to deepen anyway, continue with a light pass and deepen at most 1-2 sections
Phase 1: Parse the Current Structure
Map the plan into the current template. Look for these sections, or their nearest equivalents:
Documentation / Operational Notes
- Optional deep-plan sections such as
Alternative Approaches Considered
, , , Risk Analysis & Mitigation
, and Operational / Rollout Notes
If the plan was written manually or uses different headings:
- Map sections by intent rather than exact heading names
- If a section is structurally present but titled differently, treat it as the equivalent section
- If the plan truly lacks a section, decide whether that absence is intentional for the plan depth or a confidence gap worth scoring
Also collect:
- Frontmatter, including existing date if present
- Number of implementation units
- Which files and test files are named
- Which learnings, patterns, or external references are cited
- Which sections appear omitted because they were unnecessary versus omitted because they are missing
Phase 2: Score Confidence Gaps
Use a checklist-first, risk-weighted scoring pass.
For each section, compute:
- Trigger count - number of checklist problems that apply
- Risk bonus - add 1 if the topic is high-risk and this section is materially relevant to that risk
- Critical-section bonus - add 1 for , , , , or in or plans
Treat a section as a candidate if:
- it hits 2+ total points, or
- it hits 1+ point in a high-risk domain and the section is materially important
Choose only the top 2-5 sections by score. If the user explicitly asked to deepen a lightweight plan, cap at 1-2 sections unless the topic is high-risk.
Example:
- A section with 1 checklist trigger and the critical-section bonus scores 2 points and is a candidate
- A section with 1 checklist trigger in a high-risk migration plan also becomes a candidate because the risk bonus applies
If the plan already has a
date:
- Prefer sections that have not yet been substantially strengthened, if their scores are comparable
- Revisit an already-deepened section only when it still scores clearly higher than alternatives or the user explicitly asks for another pass on it
2.1 Section Checklists
Use these triggers.
Requirements Trace
- Requirements are vague or disconnected from implementation units
- Success criteria are missing or not reflected downstream
- Units do not clearly advance the traced requirements
- Origin requirements are not clearly carried forward
Context & Research / Sources & References
- Relevant repo patterns are named but never used in decisions or implementation units
- Cited learnings or references do not materially shape the plan
- High-risk work lacks appropriate external or internal grounding
- Research is generic instead of tied to this repo or this plan
Key Technical Decisions
- A decision is stated without rationale
- Rationale does not explain tradeoffs or rejected alternatives
- The decision does not connect back to scope, requirements, or origin context
- An obvious design fork exists but the plan never addresses why one path won
Open Questions
- Product blockers are hidden as assumptions
- Planning-owned questions are incorrectly deferred to implementation
- Resolved questions have no clear basis in repo context, research, or origin decisions
- Deferred items are too vague to be useful later
Implementation Units
- Dependency order is unclear or likely wrong
- File paths or test file paths are missing where they should be explicit
- Units are too large, too vague, or broken into micro-steps
- Approach notes are thin or do not name the pattern to follow
- Test scenarios or verification outcomes are vague
System-Wide Impact
- Affected interfaces, callbacks, middleware, entry points, or parity surfaces are missing
- Failure propagation is underexplored
- State lifecycle, caching, or data integrity risks are absent where relevant
- Integration coverage is weak for cross-layer work
Risks & Dependencies / Documentation / Operational Notes
- Risks are listed without mitigation
- Rollout, monitoring, migration, or support implications are missing when warranted
- External dependency assumptions are weak or unstated
- Security, privacy, performance, or data risks are absent where they obviously apply
Use the plan's own
and
as evidence. If those sections cite a pattern, learning, or risk that never affects decisions, implementation units, or verification, treat that as a confidence gap.
Phase 3: Select Targeted Research Agents
For each selected section, choose the smallest useful agent set. Do not run every agent. Use at most 1-3 agents per section and usually no more than 8 agents total.
Use fully-qualified agent names inside Task calls.
3.1 Deterministic Section-to-Agent Mapping
Requirements Trace / Open Questions classification
compound-engineering:workflow:spec-flow-analyzer
for missing user flows, edge cases, and handoff gaps
compound-engineering:research:repo-research-analyst
for repo-grounded patterns, conventions, and implementation reality checks
Context & Research / Sources & References gaps
compound-engineering:research:learnings-researcher
for institutional knowledge and past solved problems
compound-engineering:research:framework-docs-researcher
for official framework or library behavior
compound-engineering:research:best-practices-researcher
for current external patterns and industry guidance
- Add
compound-engineering:research:git-history-analyzer
only when historical rationale or prior art is materially missing
Key Technical Decisions
compound-engineering:review:architecture-strategist
for design integrity, boundaries, and architectural tradeoffs
- Add
compound-engineering:research:framework-docs-researcher
or compound-engineering:research:best-practices-researcher
when the decision needs external grounding beyond repo evidence
Implementation Units / Verification
compound-engineering:research:repo-research-analyst
for concrete file targets, patterns to follow, and repo-specific sequencing clues
compound-engineering:review:pattern-recognition-specialist
for consistency, duplication risks, and alignment with existing patterns
- Add
compound-engineering:workflow:spec-flow-analyzer
when sequencing depends on user flow or handoff completeness
System-Wide Impact
compound-engineering:review:architecture-strategist
for cross-boundary effects, interface surfaces, and architectural knock-on impact
- Add the specific specialist that matches the risk:
compound-engineering:review:performance-oracle
for scalability, latency, throughput, and resource-risk analysis
compound-engineering:review:security-sentinel
for auth, validation, exploit surfaces, and security boundary review
compound-engineering:review:data-integrity-guardian
for migrations, persistent state safety, consistency, and data lifecycle risks
Risks & Dependencies / Operational Notes
- Use the specialist that matches the actual risk:
compound-engineering:review:security-sentinel
for security, auth, privacy, and exploit risk
compound-engineering:review:data-integrity-guardian
for persistent data safety, constraints, and transaction boundaries
compound-engineering:review:data-migration-expert
for migration realism, backfills, and production data transformation risk
compound-engineering:review:deployment-verification-agent
for rollout checklists, rollback planning, and launch verification
compound-engineering:review:performance-oracle
for capacity, latency, and scaling concerns
3.2 Agent Prompt Shape
For each selected section, pass:
- A short plan summary
- The exact section text
- Why the section was selected, including which checklist triggers fired
- The plan depth and risk profile
- A specific question to answer
Instruct the agent to return:
- findings that change planning quality
- stronger rationale, sequencing, verification, risk treatment, or references
- no implementation code
- no shell commands
Phase 4: Run Targeted Research and Review
Launch the selected agents in parallel.
Prefer local repo and institutional evidence first. Use external research only when the gap cannot be closed responsibly from repo context or already-cited sources.
If a selected section can be improved by reading the origin document more carefully, do that before dispatching external agents.
If agent outputs conflict:
- Prefer repo-grounded and origin-grounded evidence over generic advice
- Prefer official framework documentation over secondary best-practice summaries when the conflict is about library behavior
- If a real tradeoff remains, record it explicitly in the plan rather than pretending the conflict does not exist
Phase 5: Synthesize and Rewrite the Plan
Strengthen only the selected sections. Keep the plan coherent and preserve its overall structure.
Allowed changes:
- Clarify or strengthen decision rationale
- Tighten requirements trace or origin fidelity
- Reorder or split implementation units when sequencing is weak
- Add missing pattern references, file/test paths, or verification outcomes
- Expand system-wide impact, risks, or rollout treatment where justified
- Reclassify open questions between and
Deferred to Implementation
when evidence supports the change
- Add an optional deep-plan section only when it materially improves execution quality
- Add or update in frontmatter when the plan was substantively improved
Do not:
- Add fenced implementation code blocks unless the plan itself is about code shape as a design artifact
- Add git commands, commit choreography, or exact test command recipes
- Add generic subsections everywhere
- Rewrite the entire plan from scratch
- Invent new product requirements, scope changes, or success criteria without surfacing them explicitly
If research reveals a product-level ambiguity that should change behavior or scope:
- Do not silently decide it here
- Record it under
- Recommend if the gap is truly product-defining
Phase 6: Final Checks and Write the File
Before writing:
- Confirm the plan is stronger in specific ways, not merely longer
- Confirm the planning boundary is intact
- Confirm the selected sections were actually the weakest ones
- Confirm origin decisions were preserved when an origin document exists
- Confirm the final plan still feels right-sized for its depth
Update the plan file in place by default.
If the user explicitly requests a separate file, append
before
, for example:
docs/plans/2026-03-15-001-feat-example-plan-deepened.md
Post-Enhancement Options
If substantive changes were made, present next steps using the platform's blocking question tool when available (see Interaction Method). Otherwise, present numbered options in chat and wait for the user's reply before proceeding.
Question: "Plan deepened at
. What would you like to do next?"
Options:
- View diff - Show what changed
- Run skill - Improve the updated plan through structured document review
- Start skill - Begin implementing the plan
- Deepen specific sections further - Run another targeted deepening pass on named sections
Based on selection:
- View diff -> Show the important additions and changed sections
- skill -> Load the skill with the plan path
- Start skill -> Call the skill with the plan path
- Deepen specific sections further -> Ask which sections still feel weak and run another targeted pass only for those sections
If no substantive changes were warranted:
- Say that the plan already appears sufficiently grounded
- Offer the skill or as the next step instead
NEVER CODE! Research, challenge, and strengthen the plan.