392 件 ・ 関連度順
概要と使いどころ
Run a retrospective for an abandoned agent session (untouched for over 24 hours, never closed with a retro): rebuild context cold from the transcript, list what was built, sort Keep/Drop/Try and file the durable parts. Use from a nightly routine or on demand. Triggers: /retro-lost, retro for an abandoned session.
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 this machine's cross-machine mailbox, the messages another computer's agent left here over a file-synced bus folder, and send messages back the same way. A session-start hook shows new mail automatically; this is the on-demand mid-session re-check. Triggers: "/inbox", "check inbox", "messages from the other machine".
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。
Have the second brain ask the owner five hard questions about their own long-held beliefs and codex entries that have not been revisited, so assumptions stop fossilizing. Monthly or on demand. Triggers: "/five-hard", "challenge my beliefs", "pressure-test my views".
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。
Check a Facebook wall for authored posts that have no teaser yet and draft the teasers for short-form channels. Runs as a daily routine or on demand, and stays draft-first. Triggers: "/fb-watch", "check facebook for un-teased posts", "catch up on teasers".
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。
Pull fresh ChatGPT conversations into an Obsidian vault on demand, the manual twin of the nightly job. Incremental and idempotent by conversation id: never clobbers enriched notes, never duplicates. Triggers: "/chatgpt-sync", "pull chatgpt", "sync chatgpt chats".
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 asks to "analyze the SERP" or "SERP分析"; maps SERP features, layout, ranking factors, search intent, AI Overviews, and snippet opportunities for a query. Not for keyword demand discovery — use keyword-research. SERP分析/搜索结果
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 asks to "find content gaps", "竞品写了什么", or "还应该写什么"; builds a competitor-relative coverage map of missing topics, keyword gaps, and editorial-calendar opportunities. Not for raw keyword demand discovery — use keyword-research. 内容缺口/选题规划
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。
Account-based marketing for B2B SaaS. Use this skill to build a target account list, tier it 1:1 / 1:few / 1:many, size it against sales capacity, turn intent and engagement signals into plays, write the multi-channel orchestration contract each tier runs on, and measure the program in account coverage, penetration and pipeline instead of MQLs. Also triggers on: ABM, account-based marketing, target account list, TAL, named accounts, account tiering, 1:1 ABM, one-to-few, programmatic ABM, account selection, ideal customer profile fit, intent data, buying signals, 6sense, Bombora, Demandbase, account penetration, account coverage, sales and marketing alignment on accounts, enterprise account program.
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。
Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why.
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 starting, stopping, or inspecting the dev stack for this Hydrolix Grafana datasource plugin — Grafana (with the plugin bind-mounted), ClickHouse, Keycloak (OAuth), and the on-demand playwright runner. Covers `docker compose up` semantics, the `dist/` prerequisite, serving plugin artifacts from an alternate folder (any path, live or frozen, via an ephemeral compose override), switching Grafana versions, hot-reload behaviour, delve attach, log streaming, OAuth/anonymous auth, and ClickHouse fixture access. Apply whenever a task needs the plugin running locally, needs to reset the stack, or needs to debug why Grafana won't come up.
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。
Bootstrap a new Gradle module in any Kotlin Android project. Walks the user through choosing one of three module types — library module (`com.android.library`), feature module (regular Android library that hosts a feature/UI, install-time only), or dynamic feature module (`com.android.dynamic-feature`, on-demand/conditional/instant delivery). Use whenever the user wants to add a module, modularize code, extract a util/data/ui layer, create a new feature, set up Play Feature Delivery, or asks "should this be a library or feature module?". Discovers the project's existing conventions (plugin aliases, namespaces, sibling modules, version catalog) instead of hardcoding any. Pushes back on bad combos (e.g. utility code in a dynamic feature). Stops at scaffolding; app-level wiring is out of scope.
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 working with Aws Pricing — aWS pricing helper for cost queries. ALWAYS use get_aws_cost script for pricing questions. Use when: - User asks about AWS resource costs or pricing - User wants to compare pricing across regions - User needs spot, on-demand, or reserved pricing info Triggers: aws pricing, aws cost, how much does, ec2 price, rds cost, s3 pricing.
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。
Transform, resize, crop, reformat, and optimize images on demand via Netlify Image CDN's /.netlify/images endpoint. Use when adding responsive images, generating thumbnails, converting formats (avif/webp/png), cropping to aspect ratios, tuning image quality, creating blurred placeholders, allowlisting remote image domains, serving user-uploaded images, or wiring framework image components (Next.js, Astro, Nuxt, Angular, Gatsby) to Netlify. Triggers on tasks like "optimize images", "add image thumbnails", "resize images on the fly", "serve images from an external domain", or "add blur placeholders".
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。
Cache dynamic and static responses on Netlify's CDN from Functions, Edge Functions, and proxies. Use when you add caching or cache-control headers to a function response, tune cache TTL or stale-while-revalidate, set up the durable cache, vary a cache key by query/header/cookie/country/language, purge or invalidate the cache by site or cache tag, use the programmatic Cache API (caches.open/match/put) or @netlify/cache helpers (fetchWithCache/cacheHeaders/getCacheStatus), speed up an expensive API call, add ISR or on-demand revalidation, or debug why a response is or isn't cached via the Cache-Status header.
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。
Diagnoses .NET Framework CLR activation issues using CLR activation logs (CLRLoad logs) produced by mscoree.dll. Use when: the shim picks the wrong runtime, fails to load any runtime, shows unexpected .NET 3.5 Feature-on-Demand (FOD) dialogs, unexpectedly does NOT show FOD dialogs, loads both v2 and v4 into the same process causing failures, or any time someone is wondering "what is happening with .NET Framework activation?"
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。
Split one big task into chunks of at most 25 minutes, each with a done-check, and place the demanding ones in your high-energy hours. Use for "split this task", "break it into chunks", "I can't start this", "focus plan". Nothing leaves your computer.
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 on demand to reconcile a Mac's GUI-changed settings into version control — when the user says "reconcile my mac defaults", "capture my macOS settings", or after they've changed System Settings and want the keepers tracked. Drives homedir-manager's `defaults` verb (capture/drift/apply) against a versioned desired-state file.
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。
Kelly's market-intelligence desk (Busabase App-in-Skill). Merges passive competitor monitoring (Radar), agent-run deep research with approved briefs and cited reports (Research), and keyword/topic demand signals (Trends) over one Busabase-backed snapshot, watchlist, and review model. Use when the user invokes $kelly-radar or /kelly-radar, or asks for competitor monitoring, market intelligence, market research, research reports, trends, rising keywords, pricing changes, product launches, changelog diffs, competitor reviews, funding or hiring news, or opportunity triage.
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。
Builds multi-touch pipeline attribution models and generates stakeholder-ready narratives from campaign performance data. Use when analyzing channel contribution to pipeline, preparing monthly/quarterly revenue reports for leadership, diagnosing pipeline misses, modeling budget reallocation scenarios, or translating raw attribution data into board-deck language. Designed for B2B SaaS demand gen teams that report on pipeline and revenue, not leads or MQLs.
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。
Generates publish-ready LinkedIn posts for B2B SaaS marketing leaders writing from an operator point of view: real decisions, real trade-offs, real constraints, and defensible lessons. Use when turning an internal observation, framework, campaign decision, miss, or shipped artifact into a public LinkedIn post. Best for demand generation, ABM, marketing ops, product marketing, and SaaS GTM leaders building credibility through practical operating insight. Not intended for generic brand posts, company announcements, sales outreach, or long-form content.
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。
Generates the monthly revenue-accountable marketing report that B2B SaaS marketing leaders deliver to CEOs, CFOs, executive teams, and boards. Use when preparing the monthly CEO report, drafting the marketing section of a board deck, defending budget decisions, diagnosing pipeline gaps, or transitioning marketing from MQL/SQO reporting to revenue, CAC payback, and forward pipeline coverage. Designed for B2B SaaS demand generation leaders who own pipeline targets across segments, geos, and motions, and need to explain marketing's revenue contribution in executive language.
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。
End-to-end ABM program design and orchestration for B2B SaaS mid-market and enterprise motions. Use when building a target account list, designing account tiering criteria, planning ABM channel orchestration, coordinating BDR outreach with marketing campaigns, defining ABM measurement frameworks, or running an ABM program review. Also use when asked to "build an ABM program," "set up account-based marketing," "design a target account strategy," "plan ABM campaigns," or "measure ABM results." Designed for demand gen teams selling to Mid-Market companies with $10K-$50K+ ACV, multi-persona buying committees, and 3-6 month sales cycles.
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。
Create a scheduled task that can be run on demand or automatically on an interval.
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。
Export PostHog events, persons, or sessions on demand and download the resulting files. Use when the user asks to download/export raw PostHog data, create a one-off file export, fetch a Parquet or JSONLines export, or use the file_download_batch_exports API. Covers starting the export with MCP, polling completion, and downloading via the existing REST redirect endpoint.
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。