Plan Mode Mastery with Grok (v1.6.1)
Stop AI agents from jumping into code. Enforce a senior-level architectural planning framework with risk mapping, constraint injection, and phased roadmaps before any implementation begins.
- Starting any non-trivial feature or refactor where the existing architecture is unclear or risky
- Extracting business logic from a monolith or legacy service
- Designing new services or modules that must satisfy strict compliance, performance, or data integrity requirements
$7
· or 35 creditsSecure checkout via Stripe
Included in download
- Starting any non-trivial feature or refactor where the existing architecture is unclear or risky
- Extracting business logic from a monolith or legacy service
- terminal, file_read, file_write automation included
- Ready for TUI**.
Sample input
Apply Plan Mode Mastery to the following request. Produce a full Risk Map, Architectural Decision Record, and phased implementation roadmap with explicit validation gates and rollback conditions.
Request: "I want to extract the discount logic from the Order service into a separate DiscountService."
Sample output
Plan Risk Map + Decision Record
Objective
Extract discount calculation into a standalone service while guaranteeing identical behavior.
Key Risks Identified
- Behavior drift on stacked promotions (High)
- Tax/reporting integration breakage (High)
- Performance impact on hot path (Medium)
Chosen Approach
Parallel Change (Expand/Contract) + shadow mode + feature flag
Phased Roadmap
- Shadow mode + comparison harness (2 days)
- 1% → 10% → 50% traffic migration with automatic rollback
- Full cutover + 14-day deprecation window
Success Gates
- Zero discrepancy on 50k historical orders in shadow
- p95 latency impact < 5ms
- Explicit human approval at each phase
Plan Mode Mastery with Grok (v1.6.1)
Stop AI agents from jumping into code. Enforce a senior-level architectural planning framework with risk mapping, constraint injection, and phased roadmaps before any implementation begins.
$7
· or 35 creditsSecure checkout via Stripe
Included in download
- Starting any non-trivial feature or refactor where the existing architecture is unclear or risky
- Extracting business logic from a monolith or legacy service
- terminal, file_read, file_write automation included
- Ready for TUI**.
- Instant install
Sample input
Apply Plan Mode Mastery to the following request. Produce a full Risk Map, Architectural Decision Record, and phased implementation roadmap with explicit validation gates and rollback conditions.
Request: "I want to extract the discount logic from the Order service into a separate DiscountService."
Sample output
Plan Risk Map + Decision Record
Objective
Extract discount calculation into a standalone service while guaranteeing identical behavior.
Key Risks Identified
- Behavior drift on stacked promotions (High)
- Tax/reporting integration breakage (High)
- Performance impact on hot path (Medium)
Chosen Approach
Parallel Change (Expand/Contract) + shadow mode + feature flag
Phased Roadmap
- Shadow mode + comparison harness (2 days)
- 1% → 10% → 50% traffic migration with automatic rollback
- Full cutover + 14-day deprecation window
Success Gates
- Zero discrepancy on 50k historical orders in shadow
- p95 latency impact < 5ms
- Explicit human approval at each phase
About This Skill
What it does
Plan Mode Mastery is an architectural framework that transforms your AI agent into a senior engineer. It stops "code-first" impulses by enforcing a disciplined 5-phase planning process. The skill guides the agent through problem definition, constraint injection, risk mapping, trade-off analysis, and roadmap creation before a single line of feature code is written.
Why use this skill
Modern AI agents often jump into implementation too quickly, leading to "hallucinated architecture" and cascading technical debt. This skill acts as a governor, ensuring the agent considers technical, business, and compliance constraints. It is significantly more effective than standard prompting because it uses a structured Engineering Operating Procedure (EOP) to surface hidden risks and evaluate multiple approaches side-by-side.
What you get
- Risk Maps: Systematic identification of data loss, performance, and security risks.
- Architectural Decision Records (ADRs): Documented reasoning for why one approach was chosen over another.
- Phased Roadmaps: Clear implementation steps with validation triggers and rollback conditions.
- Alignment: Ensures the agent understands the "why" and "success criteria" before starting work.
Use Cases
- Starting any non-trivial feature or refactor where the existing architecture is unclear or risky
- Extracting business logic from a monolith or legacy service
- Designing new services or modules that must satisfy strict compliance, performance, or data integrity requirements
- Preventing "vibe coding" sessions that later require major rework
- Creating Architectural Decision Records that survive team and agent handoffs
- Onboarding a new AI agent (or human) to a complex existing system
Known Limitations
- Most effective when the user can clearly articulate the business goal and constraints. Vague requests will still produce plans, but the quality depends on the quality of the input constraints.
- Does not write the actual implementation code — it produces the plan and architecture the agent (or human) should follow.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/plan-mode-mastery -o /tmp/plan-mode-mastery.zip && unzip -o /tmp/plan-mode-mastery.zip -d ~/.claude/skills && rm /tmp/plan-mode-mastery.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Permissions
File Scopes
This skill is advisory and planning-focused. It does not implement changes. All implementation should follow the "Safe Code Changes with Grok" workflow after a plan has been approved.
This skill is specifically optimized for **Grok** inside the **Grok Build CLI / TUI**.