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概要と使いどころ
Systematic technical debt analysis across architecture, testing, documentation, and infrastructure. Investigates the codebase, scores findings by impact and effort, and generates a prioritized TECH_DEBT.md remediation plan. Delegates to specialized skills for code quality (scout) and linting (lint-fix). Use when assessing overall project health, planning cleanup sprints, or onboarding to an unfamiliar codebase.
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Extract knowledge, guidelines, and ADRs from one or more completed spec directories into the project documentation system.
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Evidence-first academic research workflow for topic ideation, scholarly search, paper reading, literature and systematic reviews, study and experiment design, statistics and data analysis, scientific figures, manuscript drafting and polishing, citation checks, peer review, rebuttals, submission packages, theses, and paper-to-presentation work. Use when an agent must plan, execute, audit, write, revise, or package research while keeping claims traceable to verified sources, data, analysis, or official requirements.
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Systematically explore and test any software project (CLI, API, Backend, Library, etc.) to find bugs, usability issues, and edge cases. Produces a structured report with full reproduction evidence (exact commands, inputs, logs, and tracebacks) for every issue.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user wants to systematically fix AI code slop — duplicated logic, over-engineering, silent error swallowing, convention drift, cargo-cult patterns, and other LLM-introduced architectural decay — over a specified duration
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Run a task iteratively over a user-specified duration by dispatching subagents. The orchestrator stays strictly linear and time-checked, but each iteration fans out MULTIPLE subagents in parallel over independent units (and those subagents may fan out further). Shared state — a compact progress digest and a growing environment cheatsheet — lives on disk and is passed to every subagent BY REFERENCE, killing the per-subagent rediscovery tax. Every subagent first reads an initialiser preamble that points it at that shared state and makes it write findings back, so the cheatsheet populates itself; role prompts are produced ONCE on the filesystem by a single scaffold command and dispatched by path, never re-typed per dispatch. Subagents persist their results to disk and return only a tiny status, so the orchestrator's context stays small and lasts. The orchestrator classifies the goal as FINITE or OPEN-ENDED: finite lists may finish early; open-ended goals use the full duration, never idle, never manufacture busywork. Use when the user gives a task and a duration and wants it ground out iteratively by subagents over that time.
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Firmware development for the <VENDOR> <BOARD NAME> (<MCU PART NUMBER>) — its <peripheral>, <peripheral>, <peripheral>, and the <SDK/HAL> + <build system> setup around them. Use when working on this board or any <compatible siblings>: project setup, <config file>, clock configuration, pin mapping, peripheral bring-up, <the board's headline concern>, flashing, or debugging why something on the board does not work.
日本語の概要は準備中です。原文の説明を表示しています。
Outbound SDR (Sales Development Representative) operating system that runs the full top-of-funnel motion across HubSpot (CRM, engagement, and source of truth) and Exa (web research + signals). Use this skill WHENEVER the user is doing outbound sales development, building target/prospect lists, defining or refining an ICP, enriching leads, researching accounts or people before outreach, writing cold emails or multi-touch sequences, qualifying or scoring leads, logging activity to CRM, handing meetings off to AEs, or reporting on pipeline. Trigger it even when the user only says things like "find me 50 leads", "research this account", "write a cold email to this person", "score these leads", "log this in HubSpot", or "build a sequence"; these are all SDR tasks this skill governs. Do not wait for the user to say "SDR" or "prospecting" explicitly.
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Publishes structured, actionable artifacts from Claude Code sessions — PR walkthroughs, incident timelines, system explainers, release checklists, and security audits.
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Generate Mermaid architecture diagrams from your codebase. Produces C4 context and container diagrams, sequence diagrams for key flows, ER diagrams from database schemas, and module dependency graphs. Use when you need architecture diagrams, system diagrams, database ERD, sequence diagrams, dependency visualization, or C4 model diagrams.
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Audit pharmaceutical yield prediction systems and process analytical technology -- evaluate critical process parameter (CPP) to critical quality attribute (CQA) relationships, design space characterization per ICH Q8(R2) Quality by Design, PAT sensor readiness (NIR, Raman.
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Comprehensive healthcare system compliance and security audit: review HIPAA Privacy and Security Rule adherence, check HITECH and 21st Century Cures Act obligations, validate clinical data integrity for HL7 FHIR and patient safety.
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Analyze airline, airport, cruise, and tour operator systems for ground handling efficiency, aircraft turnaround optimization, disruption management, and GDS integration. Covers IATA/ICAO compliance, IROPS recovery, on-time performance tracking, embarkation logistics, transfer coordination, and NDC implementation for travel technology platforms.
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Audit warehouse flow design and material movement -- evaluate pick path optimization algorithms, ABC velocity-based slotting compliance, zone configuration and boundary balancing, conveyor merge point and sortation system capacity, wave planning logic.
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Audit warehouse management system operations -- evaluate WMS platform architecture (Manhattan, Blue Yonder, SAP EWM, Korber, Infor), inbound receiving and ASN processing, putaway rules and cross-docking logic, picking strategy selection (discrete, batch, zone, wave, cluster.
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Analyze vehicle routing and fleet optimization systems for route planning algorithms, multi-stop sequencing, time window constraints, and last-mile delivery performance.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze vendor management systems for performance scorecards, third-party risk assessment, SLA enforcement, vendor rationalization, and relationship governance.
日本語の概要は準備中です。原文の説明を表示しています。
Audit adaptive learning and student personalization systems for pedagogical quality. Triggers: you need to evaluate learning path algorithms (branching, remediation, acceleration).
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Evaluate physical therapy personalization and adaptive treatment systems.
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Evaluate therapy outcome measurement systems for rehabilitation and physical therapy.
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Audit workforce scheduling systems for labor optimization and compliance. Triggers: you need to evaluate labor demand forecasting accuracy, shift generation and optimization algorithms.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze learning management and training pathway systems for prerequisite mapping, competency-based progression, adaptive sequencing, and credential stacking.
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Audit corporate tax compliance systems across jurisdictions. Analyzes tax engine configuration (Avalara, Vertex, ONESOURCE), nexus determination and Wayfair economic nexus tracking, sales/use tax calculation accuracy, federal and state income tax compliance (book-to-tax adjustments, NOL.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze vendor and contractor coordination systems for performance scoring, competitive bid evaluation, SLA compliance tracking, and vendor risk assessment.
日本語の概要は準備中です。原文の説明を表示しています。