Results for “test”

Econometrics skill for Regression Discontinuity Design (RDD). Activates when the user asks about: "regression discontinuity", "RDD", "RD design", "sharp RDD", "fuzzy RDD", "running variable", "forcing variable", "cutoff", "bandwidth selection", "local linear regression", "McCrary test", "density test", "RDROBUST", "continuity assumption", "donut hole RDD", "geographic RDD", "断点回归", "回归不连续", "运行变量", "截断值", "带宽选择", "精确断点", "模糊断点", "密度检验", "局部线性回归"

Finishes an existing Japanese business talking-head, lecture, interview, or testimonial rough cut into a credibility-first vertical social video, preserving the speaker's meaning while tightening repeated ideas, adding a first-second thesis, readable full captions, restrained punch-ins, speaker identification, a.

6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.

Use when a task is well-defined, has an automatic way to verify success (tests, linter, build), and is tedious or large enough to benefit from unattended iteration - e.g. "get all tests passing", "implement this spec end to end", "fix every lint error". Not for one-shot changes or work that needs human judgment mid-stream.

Dispatch multiple independent tasks to parallel agents for faster debugging and problem-solving.

Run a red-green-refactor TDD workflow — generate failing tests first, implement to green, then check coverage gaps. Usage: /tdd <generate|coverage|validate> [target]

Run a red-green-refactor TDD workflow — generate failing tests first, implement to green, then check coverage gaps. Usage: /tdd <generate|coverage|validate> [target]

Create new skills, modify existing ones, and measure their performance through iterative evaluation and benchmarking.

Collaborates with users to design structured development plans broken into testable commits, with research and clarification steps.

Use this when a project needs a better local development workflow for setup, running services, seeding data, testing integrations, or managing multi-service developer environments.

Enforces running verification commands and confirming output before claiming work is complete, fixed, or passing, to prevent false success claims.

Watch, audit, and fix another agent's work by reconstructing the original request, inspecting evidence, and reporting gaps.

Uses two independent review agents to verify output quality, requiring both to pass before shipping.

Creates detailed, bite-sized implementation plans from specs or requirements, with exact file paths, code, and test commands for TDD workflows.

Use when the user asks to write specs before code, define acceptance criteria, plan features before implementation, generate tests from specifications, or follow spec-first development practices.

Structured workflow to reproduce, diagnose, plan, fix, verify, and record a bug fix, requiring a deterministic reproduction before diagnosis and minimal changes only.

Composite skill — land a safe first PR in an unfamiliar repo without rediscovery loops or guessing at conventions. Chains onboard-new-repo (architecture + scripts + CI scan) → context-pack (relevant files + standards + ADRs for the scoped change) → scope-and-execute (narrow the task) → test-driven-development (write failing test first) → pr-to-release (open the PR). Use the first time you contribute to a repo OR when an unfamiliar contributor needs a guided first change.

Configure Celery with Django for background task processing, including task design, scheduling, retries, canvas workflows, monitoring, and testing.

Create new skills, modify and improve existing skills, and measure skill performance through iterative evaluation and benchmarking.

Runs a ten-round adversarial gauntlet to pressure-test absolute claims, refining them with explicit boundaries and an Oracle synthesis.

Scaffolds a new ClawBio skill from a JSON/YAML spec or interactively, generating SKILL.md, Python skeleton, tests, and updating the catalog.

Automates the full build-to-launch cycle for Blender extensions and add-ons, including packaging, installation, enabling, and launching Blender for rapid testing.

Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.

Audits, develops, tests, and tracks software projects through a Project Loop Harness with SQLite memory, evidence-backed status, and a generated HTML dashboard.

Automate real browsers from the terminal for navigation, form filling, screenshots, data extraction, and UI-flow debugging using a CLI wrapper around Playwright.

Runs an interactive QA session, clarifying user-reported problems, exploring the codebase for context, and filing durable, user-focused GitHub issues.

Orchestrate token-heavy research, coding, and testing by delegating bounded tasks to cheaper subagents while reserving Claude Fable for architecture, synthesis, and final review.

Turns a spec or requirements into a detailed, bite-sized implementation plan with exact file paths, code, and test steps for engineers with no codebase context.

Create, extract, flatten, list, test, install, and script tzst CLI workflows for .tzst or .tar.zst archives, including compression levels, streaming mode, extraction filters, conflict resolution, and JSON output.

Use when deciding which cell-* sub-skill to invoke next, or when sequencing a manuscript from significance test through reviewer rebuttal for Cell (Cell Press). Routes — it does not replace — the specialized skills.

Generates a comprehensive AGENTS.md file at the repository root to provide AI coding agents with project context, setup commands, development workflows, testing instructions, and code style guidelines.

Create systematic QA checklists to verify that design implementations match specifications across visual accuracy, layout, interaction, content, accessibility, and cross-platform categories.

Generates a structured Claude CLI prompt from a JSON idea specification to bootstrap a complete skill directory with SKILL.md, references, scripts, and tests following repository conventions.

Coordinates a squad of specialized agents for software development, routing tasks and managing context across requirements, planning, architecture, implementation, review, testing, and deployment phases.

Discovers and installs agent skills from the open ecosystem using the Skills CLI, helping users find capabilities for tasks like web development, testing, and design.

Use this skill for mobile viewport testing, tap targets, safe areas, responsive navigation, device constraints. Trigger when the task involves qa work related to Mobile First Qa, production implementation, audits, debugging, strategy, or validation.