Generates a sprint or milestone retrospective by analyzing completed work, velocity, blockers, and patterns. Produces actionable insights for the next iteration.
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概要と使いどころ
Generates a sprint or milestone retrospective by analyzing completed work, velocity, blockers, and patterns. Produces actionable insights for the next iteration.
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 moving expensive browser work off the main thread with Web Workers, SharedWorker, worker pools, Comlink, transferable objects, Vite/Webpack worker integration, or UI responsiveness fixes. Do not use for lightweight synchronous work or DOM manipulation; Chinese triggers include Web Worker, background thread, main thread blocking.
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。
Full-funnel paid advertising operations for B2B SaaS. Use this skill for PPC strategy, Google Ads optimization, LinkedIn Ads, social media advertising, programmatic buying, creative strategy, attribution modeling, budget allocation, budget pacing and planned-vs-delivered reconciliation, audience overlap and campaign self-competition audits, suppression lists, ROAS improvement, media spend optimization, and the media no auction sells — newsletter and podcast sponsorships, community and industry-publication placements, paid review-site listings on G2 and Capterra, and pay-per-lead content syndication. It also covers buying on the AI answer surface — ads inside Google AI Overviews and AI Mode that existing Search, Shopping and Performance Max campaigns already serve into with no opt-out, no placement targeting and no segmented reporting, and ChatGPT Ads and Microsoft Copilot as separate opt-in platforms with their own plan-tier reach limits, no negative keywords, and a landing-page crawler gate. It also owns the conversion signal the bidding algorithms learn from — CRM pipeline stages (SQL, opportunity, closed-won) sent back to Google Ads, LinkedIn, Meta and Microsoft Ads through offline conversion import, enhanced conversions for leads, the Google Data Manager API and the LinkedIn Conversions API, with click-ID capture, stage values, dedupe, EEA consent signals and retractions. It also gates connected TV (CTV) and streaming video for B2B — whether a reach medium belongs in the plan, how a vendor ties a TV household to a target account (member data, IP-to-account graph or contextual), the server-side ad insertion (SSAI) fraud questions, Programmatic Guaranteed deals, and a holdout lift test because CTV has no click. It also runs person-led paid social — LinkedIn Thought Leader Ads and Meta partnership ads that put spend behind an employee's or creator's post — on a paid-usage term, an in-post disclosure check and an end-date register, because the platform approval carries no term. Also triggers on: CTV, connected TV, OTT, streaming TV ads, should we run CTV, LinkedIn CTV, B2B CTV, account-based CTV, SSAI fraud, thought leader ads, boost an employee's post, sponsor a creator's post, partnership ads, whitelisting, creator usage rights, PPC, Google Ads, LinkedIn Ads, social ads, programmatic, ad creative, attribution, media budget, paid campaigns, ROAS, CPA, ad spend, newsletter sponsorship, podcast sponsorship, community sponsorship, sponsor a newsletter, content syndication, pay-per-lead, cost per lead vendor, media kit, rate card, insertion order, direct buy, publisher partnership, make-good, G2 paid listing, Capterra ads, review site advertising, sponsorship ROI, budget pacing, we underspent our budget, are our campaigns competing with each other, audience overlap, self-competition, campaign cannibalization, suppression list, exclusion list, ad frequency across channels, how many ad accounts do we have, ads in AI Overviews, AI Mode ads, ChatGPT Ads, OpenAI Ads Manager, Copilot ads, conversational ads, should we advertise on ChatGPT, can we buy our way into the AI answer, our ads are showing in AI Overviews and we cannot report on it, context hints, OAI-AdsBot, our ad landing page fails review, robots.txt is blocking our ads, our paid leads are junk, Google Ads is optimizing for the wrong leads, offline conversion import, OCI, enhanced conversions for leads, send CRM stages back to Google Ads, upload SQLs to LinkedIn, LinkedIn Conversions API, LinkedIn CAPI, Meta conversion leads, CRM to ad platform, gclid, li_fat_id, msclkid, value-based bidding, optimize for pipeline not form fills, low match rate, conversion lag.
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 a task needs the judgment of a Character/Motion Animator — triaging which shots in a batch get full 12-principles polish versus blocking-only under a tight schedule, choosing pose-to-pose vs. straight-ahead for a shot, writing a rig-limitation workaround memo, or reading a director's revision note as a pose fix vs. a timing fix.
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。
Build comprehensive chromatin accessibility maps by aggregating ATAC-seq and DNase-seq narrowPeak data across multiple ENCODE experiments, donors, and labs. Use when the user wants to answer "where is chromatin accessible in my tissue?" by combining peak calls into a union peak set. Handles cross-lab variation, ATAC vs DNase platform differences, and ENCODE blocklist filtering.
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。
Build comprehensive histone mark maps by aggregating narrowPeak data across multiple ENCODE experiments, donors, and labs. Use when the user wants to answer "where is this histone mark present in my tissue?" by combining peak calls from multiple studies into a union peak set with confidence annotations. Handles cross-lab batch effects, broad vs narrow marks, and ENCODE blocklist filtering.
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 robots.txt for AI crawler access policies. Checks GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and other AI crawlers. Use when user says "robots AI", "AI crawlers", "block AI", "allow AI bots", "AI crawl policy".
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。
Help users draft and, when authorized, submit feedback to volcengine/volcengine-skills: skill problems, missing capabilities, cloud scenarios, and successful Agent workflows. Use for explicit feedback or sharing requests, or an optional invitation at a natural summary after Volcengine CLI errors or an incompletely solved task. Feedback never blocks the main task.
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。
Error handling review — silent failure detection, catch block analysis, error logging.
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。
Xilinx/AMD Vivado FPGA build workflow -- batch-mode TCL scripting, ADI HDL reference design integration, Zynq-7000/MPSoC block design, IP builds, synthesis, implementation, and bitstream generation. Use for any Zynq or UltraScale+ design that incorporates ADI transceivers or follows the ADI HDL reference design pattern.
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。
Plan and protect deep work: scheduling focus blocks, task selection, shutdown rituals, and measuring depth. Use when important work never gets sustained attention or days fill with shallow tasks.
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。
Master calendar management — time blocking, scheduling hygiene, calendar audits, and executive calendaring.
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。
Protect your time with Muse as calendar guardian: time-blocking, buffer time, declining gracefully, weekly calendar audits, and defending focus and personal time.
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。
Read and manage software issues, tickets, projects, and planning data in Linear. Use to review sprints and cycles, identify ticket rollover and release blockers, and update issue status, assignees, priorities, and milestones through Linear's official MCP server.
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。
Scan all repos for failing or stuck GitHub Actions workflows, diagnose issues, and fix them. Use when: 'fix ci', 'ci is broken', 'github actions failing', 'unblock ci', 'clear ci', 'workflows stuck', 'fix all builds', 'ci health check'.
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。
Run a full pre-launch quality gate before shipping — chains product review, growth audit, UX audit, security scan, and deployment preflight into a go/no-go launch decision. Stops on critical blockers. Use before v1 launch, beta release, major version rollout, or feature launch.
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。
Inventory and prioritize all technical debt in a codebase. Scans for TODO/FIXME/HACK markers and stale comments, outdated and deprecated dependencies with CVE detection, high-churn files and cyclomatic complexity hotspots, duplicated code blocks.
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。
Pre-launch quality gate for games: audit rendering and memory performance against platform budgets, run QA for crash-causing defects and platform certification blockers, review accessibility for CVAA and platform compliance, test security against cheating and save tampering.
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。
Discover shadcn-compatible components and registries across the entire ecosystem before writing any custom UI. Use PROACTIVELY before building tables, forms, modals, animations, dashboards, auth pages, or any UI component. Use when the user says "find a component for...", "is there something for...", "search registries", "what exists for...", or asks about shadcn blocks, Magic UI, Aceternity, ReUI, Animate UI, DiceUI, Tailark, AI Elements, or any other shadcn-compatible registry. Complements the official shadcn skill by surfacing registries beyond the user's configured `components.json` — use when exploring what's available to add, not just what's already installed.
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。
Identify, score, and mitigate delivery risks for a program or release. Use when the user says "risk review", "what could go wrong", "risk register", "delivery risks for this release", "program risk assessment", "identify blockers before they hit", or wants to pressure-test a plan before committing - even if they don't say "risk review". Based on "The Phoenix Project" by Kim, Behr & Spafford (unplanned work, fragile systems, single points of failure) and "The Art of Project Management" by Scott Berkun (scoping risk, milestone pressure, hidden assumptions).
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 flow metrics to identify delivery bottlenecks and improve throughput. Use when the user says "flow metrics", "why is delivery slow", "cycle time analysis", "WIP analysis", "throughput review", "what's our lead time", "DORA metrics", "where is work getting stuck", "Kanban metrics", or wants to diagnose delivery performance using data - even if they don't explicitly say "flow metrics review". Based on "Making Work Visible" by Dominica DeGrandis (WIP limits, flow blockers, time thieves) and "Accelerate" by Forsgren, Humble & Kim (DORA metrics, delivery performance indicators).
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。
Write a structured weekly or bi-weekly program status report for stakeholders. Use when the user says "write a status report", "program update", "stakeholder update", "weekly status", "RAG status", "program health report", "what do I send to leadership", "write the update for [program]", or needs to communicate delivery progress - even if they don't explicitly say "status report". Produces a concise, scannable report with RAG status, blockers, and decisions needed.
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。
Manage QA release gates - go/no-go decisions, release sign-off reports, defect triage, and release readiness communication. Use this skill whenever a QA lead or manager needs to formally assess whether a build is ready to ship. Trigger on phrases like "release sign-off", "go or no-go", "is this ready to release", "defect triage", "release gate", "approve the release", "block the release", "release readiness", "quality gate", "sign off on this build", "triage these bugs", or any request to make or document a formal release decision. Also trigger when a release manager or PM asks "what's the QA status?" or "can we ship this?".
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。
Explain, draft, or validate Obsidian Flavored Markdown syntax: properties, wikilinks, embeds, callouts, tags, comments, highlights, block references, math, and Mermaid. Use when the user explicitly requests Obsidian note formatting or syntax help, not for general Markdown or broad vault operations.
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。