القائمة
Run the diverge → converge → premortem pipeline to produce a risk-annotated PRD
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Index of this project's coding-practice rules — architecture, coding style, testing, security, git workflow, task management, context layering, anti-slop, performance, and language-specific rules. The thin always-on essentials live in .claude/rules/common/house-rules.md; the full per-topic detail ships under .claude/rules/reference/ and .claude/rules/<lang>/ and is read on demand. Invoke this skill when you need the project's standards for a task, then open the specific rule file it points to.
Thin methodology for end-to-end tests of critical user journeys — define journeys by risk, use semantic locators and condition-based waits, quarantine flaky tests with a tracked reason, and capture artifacts on failure. Use when adding or stabilizing E2E coverage; the e2e-runner agent applies it in depth.
Design rigorous evaluations and benchmarks for AI agents, developer tools, retrieval systems, and repository-scale automation. Covers task selection, contamination control, metric choice tied to engineering decisions, and statistical validity. Use when asked to design an eval/benchmark, critique an existing benchmark, choose metrics for an agent or RAG system, or decide whether a measured improvement is real. NOT for running an existing performance-benchmark suite or a per-feature acceptance checklist, or one-off model spot-checks.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree one at a time. Use for ambiguous or complex collaborative specs before any code is written.
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases. Use when parsing quizzes, forms, invoices, or documents with repeating structure and cost matters.
Review a repository for long-term architectural leverage rather than code quality — system structure, module boundaries, dependency graph, coupling, and drift. Produces a ranked set of highest-ROI improvements with evidence, effort, and risk. Use when asked to review the architecture, assess a codebase's structure/design, find where complexity is concentrated, or decide what to refactor next. NOT for style, naming, formatting, or line-level bugs (use a code-review skill for those).
| name | research-project |
| description | Run the diverge → converge → premortem pipeline to produce a risk-annotated PRD |
| argument-hint | [N] "topic or feature description" |
| allowed-tools | ["Agent","Read","Write","Glob","Grep"] |
Run the complete PRD creation pipeline as a single invocation. This chains three skills in sequence, passing outputs between them.
[N] "research question or topic"
Invoke the /diverge skill with the provided arguments. This spawns N independent research agents and produces a PRD.
Wait for the PRD file to be created (format: prd_{slugified_topic}.md).
Invoke the /converge skill, passing the PRD file path from Step 1.
This runs a structured debate to refine the PRD and resolve tensions.
Invoke the /premortem skill, passing the refined PRD from Step 2.
This runs prospective failure analysis and annotates the PRD with risks and mitigations.
Present the final risk-annotated PRD path and a brief summary:
/prd-build <prd-path>)