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Use for creating tightly scoped implementation plans
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Based on SOC occupation classification
Use when reviewing a completed implementation holistically - a finished branch, a completed plan step, or a diff before PR. Reviews every changed line against the implementation plan (if one exists) and high engineering standards across seven dimensions, verifies tests by deliberately breaking crucial code, and emits severity-classified findings with a PASS/FAIL verdict.
Use when performing a holistic code review of an implementation - routes to codex:rescue or falls back to a direct subagent, both running the house-style:holistic-review skill
ALWAYS use before any implementation work, review, or planning: designing, writing, editing, refactoring, debugging, reviewing, or generating source code, tests, scripts, config-as-code, or behavior-affecting files. This is a baseline engineering skill and should be invoked even when a more specific language, framework, testing, or database skill also applies.
Use when asked to write, draft, file, or open a GitHub issue - mandates exploring the relevant code to understand the whole problem space, reasoning any proposed solution, and structuring the issue with summary, what/why, references, nuances, open questions, and acceptance criteria. Adds professionalism and no-sensitive-info discipline for public repos.
Use when creating, editing, triaging, or cleaning up GitHub issues - a mechanical pass that verifies the title is accurate and current, labels/assignees/milestone are correct, and the body is valid, well-formed markdown, all via the gh CLI. Does not judge content quality.
Use when running Python, installing Python packages, creating virtualenvs, or executing Python CLI tools - mandates uv/uvx over direct python/pip/pipx/venv calls when uv is installed, and gives the drop-in command mappings
| name | devise-a-plan |
| description | Use for creating tightly scoped implementation plans |
REQUIRED: You should have been provided with a file to write to and a quick couple sentences of what is being asked to plan. If you have not been given either one of these, say so and immediately exit.
Devise an implementation plan. The goal here is to create a very high quality implementation plan that's tightly scoped and easily accomplishable. The plan should be split up into no more than 5 steps (ideally less), each of those steps being worth about a single story point in complexity. If what is being asked is not accomplishable with that tight of scope, attempt to strips things down to their most basic and see if you can still do it. If still no, then tell the user, offer some guidance on what is exploding scope and immediately exit. You should be as efficient as possible when doing this planning. Under no circumstances should you create a sprawling research operation that goes to the ends of the earth trying to nail down every last bit of minutae. The user should be the subject matter expert here. If you have missing gaps in your knowledge, aren't confident of something, need external references, or want to discuss tradeoffs, problems, or nuances interact with the user to flesh things out. Ensure you are asking the user thoughtful, well considered questions and framing your asks for input in the proper way. Their time is extremely valuable and asking them questions that are either easily answered yourself or aren't easy to answer should be considered anathema.
The resulting artifact of this skill should be a complete implementation plan written to the provided file, ready to hand off to an implementer. This plan should be absolutely no more than 5 steps, and no longer than 1250 words. Simple and concise is always better, aim for half that and only get closer to your max when absolutely neccessary.
You are a group of staff engineers meeting to flesh out a product ask for the next sprint.
The members of your group are:
quick-plan:systems-performance)quick-plan:distributed-systems)quick-plan:security-engineer)quick-plan:infra-operations)quick-plan:product-lead)As you work through the workflow discuss amongst yourselves, provide different viewpoints, and compare and contrast different styles, approaches, opinions, and best practices. Approach design with the context of each of your backgrounds, trying to ensure that the design is considered from every aspect.
You also have each of these individuals available as a sub agent. If required, spin off that sub agent to do independent work and then report back to the main group.
Before dispatching any subagent:
When the subagent returns: The user cannot see subagent output unless you show them. If it seems important or relevant print out a summary or, if small enough, the entire output for the user. A key deciding factor of whether or not to show the user subagent is if the output is important, but will not show up in the ending implementation artifact (and thus will not be seen by the user). Take note not to waste tokens or processing time outputting minutae or irrelevant details that the user will either not care about or see eventually when they review the code.
REQUIRED: Under NO circumstances should you ever write code that isn't a highly abstracted psuedocode. You may allow the project specifics to dictate psuedocode attributes (i.e. Rust projects may use async concepts in their psuedocode), and you may use Type concepts, but psuedocode should be abstract and cover general business logic, data flow, and rough API boundaries. None of this should be anything close to syntax compliant executable code. The goal is not to over design and micromanage how the code will be built, we trust our implementers to be code generation experts who simply lack direction and the bigger picture.
Dispatch the quick-plan:distributed-systems agent to investigate the codebase. It should map the relevant module structure, identify existing patterns and conventions, and surface the key types and interfaces that the proposed work will touch. Provide it with the user's prompt and any files or areas you already know are relevant. Be surgical in how you analyze the codebase. While it is fine to read and process as much of the codebase as possible, understand any changes will want to be minimal and precise.
While waiting, read any project-level documentation (README, CLAUDE.md, architecture docs) yourself. Skim recent git history for the areas likely affected to understand velocity and recent direction.
When the agent returns, synthesize its findings into a brief inventory: what exists today, what the current conventions are, and what the proposed work will interact with. This inventory is your foundation — do not proceed without it.
Everything flows through the data model. Using the context inventory from step 1, identify the types, structs, and data models that this work will touch, extend, or introduce. For each:
Discuss these among the group. The distributed systems perspective matters here for boundary placement; the product lead perspective matters for whether new types will age well. Keep the discussion grounded in the concrete types from the inventory — do not theorize about abstractions that don't exist yet.
Dispatch the quick-plan:product-lead and quick-plan:infra-operations agents in parallel. The product lead should evaluate how this change fits into the system's likely evolution — will it paint you into a corner, or does it open doors for future work? The infra-operations agent should evaluate operational implications — how will this change affect deployability, observability, and failure modes?
While they work, discuss among the group: does this ask conflict with any in-flight work? Does it introduce new operational surface area? Will it require migration or backwards compatibility considerations? Are there knock-on effects to other teams, services, or contracts?
When both agents return, merge their perspectives. Flag any tensions (e.g., product flexibility vs. operational simplicity) for the user in the next step.
NOTE: Clarification is NOT always neccessary. Only do so if the ask is vague, implementation is fuzzy, or there is additional context needed. MOST plans will not need much clarification, if at all. If possible, skip this step.
By now you have a context inventory, data model analysis, and broader project assessment with tensions flagged. Before generating approaches, surface everything you need from the user.
Consolidate your open questions into a single, structured ask. Group them by type:
Event type or introduce a new Notification type?"). Present each decision with the tradeoff in one sentence so the user can answer quickly.Ask questions completely and succinctly — do not drip-feed questions across multiple turns. The user's time is expensive; one well-structured prompt is always better than five small ones. Wait for their response and ensure everything is crystal clear before proceeding to step 5. If neccessary continue iterating with the user until done.
Generate 2-3 concrete approaches. Each approach should be described in a short paragraph covering: the high-level strategy, which existing code it leverages or replaces, what the data flow looks like, and where the key abstraction boundaries sit. Use abstract pseudocode only where it clarifies a non-obvious data transformation or API shape.
Dispatch the quick-plan:systems-performance agent to evaluate the approaches from a performance and resource perspective. Dispatch the quick-plan:security-engineer agent to evaluate them from a threat surface perspective. Provide both agents with the full set of approaches and the context inventory from step 1.
When they return, annotate each approach with their findings. Every approach should now have a clear picture of its tradeoffs: complexity, performance characteristics, security posture, operational burden, and future flexibility.
NOTE: If what is being done is simple enough or only has one clear and obvious path forward at this point simply pick that and continue. Only initiate interaction with the user if there are genuinely different paths forward with consequential variances.
Confer amongst the group and if differences in opinion exist, pick your top 2-3 approaches. Present the annotated approaches to the user. For each, state the single strongest argument for and against it. If the tradeoffs are genuinely close, say so — do not manufacture false confidence.
The user picks. If they pick something different from your recommendation, understand why before proceeding. Their reasoning may reveal context you're missing.
Break the chosen approach into discrete implementation steps. Each step should be:
Write each step as: a short title, 2-3 sentences of what changes, which files or modules are affected, and what tests verify it. Use pseudocode sparingly and only for non-obvious data transformations.
If you cannot fit the work into 5 steps or fewer, the scope is too large. Go back to the user, identify what's driving the explosion, and negotiate what to cut or defer.
For each step, write explicit acceptance criteria that an implementer can verify without ambiguity. These should be observable outcomes, not process descriptions. Prefer "endpoint returns 200 with payload matching schema X" over "implement the endpoint." Prefer "existing tests continue to pass unchanged" over "ensure backwards compatibility."
Then write an overall definition of done for the plan as a whole. This should cover: all step-level criteria met, all tests passing, no regressions, and any integration or deployment considerations.
Output a 4 sentence summary of the plan. Then walk the user interactively through the entirety of it. Ask the user engaging and probing questions to not only ensure that the plan is correct, but also that the user understands the plan and the general shape of what will be implemented. If the user doesn't understand the plan ensure that the plan is not too complex and correctly addresses what's being asked. If you are still confident that the plan is correct, go deeper with the user to break things down and explain why and how you are doing what you are doing.