Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge
npx skills add https://github.com/microsoft/FluidFramework --skill writing-plans
<required>
CRITICAL. Add the following steps to your Todo list using TodoWrite:
<system-reminder>Any absolute paths in your plan MUST take into account any worktrees that may have been created</system-reminder>
</required>
Create a comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it. Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD.
Assume they are a talented developer. However, assume that they know almost nothing about our toolset or problem domain. Assume they don't know good test design very well.
Do not add code, but include enough detail that the necessary code is obvious.
Do not write a file to disk unless explicitly asked.
Every plan MUST start with this header:
# [Feature Name] Implementation Plan
**Goal:** [One sentence describing what this builds]
**Architecture:** [2-3 sentences about approach]
**Tech Stack:** [Key technologies/libraries]
---
Every plan MUST have a test section. This should be written first, and should
document how you plan to test the *behavior*.
**Testing Plan**
I will add an integration test that ensures foo behaves like blah. The
integration test will mock A/B/C. The test will then call function/cli/etc.
I will add a unit test that ensures baz behaves like qux...
You should end EVERY testing plan section by writing:
NOTE: I will write *all* tests before I add any implementation behavior.
<system-reminder>Your tests should NOT contain tests for datastructures or
types. Your tests should NOT simply test mocks. Always test actual behavior.</system-reminder>
<required>
For each test, follow this checklist:
</required>
Every plan MUST end with this footer:
**Testing Details** [Brief description of what tests are being added and how they specifically test BEHAVIOR and NOT just implementation]
**Implementation Details** [maximum 10 bullets about key details]
**Question** [any questions or concerns that may be relevant that need answers]
---
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
Implement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C. Use when writing safe systems code, managing resources, or preventing memory bugs.
Python/HTSlib workflows for genomic files. Use when reading, querying, filtering, or writing SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ, or tabix data with pysam, including pileup, coverage, indexing, and CRAM references.
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL.
Documentation generation workflow covering API docs, architecture docs, README files, code comments, and technical writing.
Use when the user wants to translate a repository README, make a repo multilingual, localize docs, add a language switcher, internationalize the README, or update localized README variants in a GitHub-style repository.
Take microsoft/writing-plans from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.