Entry-point router. Ask the user two questions, then route to the right skill. Call this when you don't know where to start.
原文の言語: 英語
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SkillsMP は 0xF4ng/aether-growth-fieldwork から 49 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 49 件中 40 件を表示しています。
Entry-point router. Ask the user two questions, then route to the right skill. Call this when you don't know where to start.
原文の言語: 英語
Writing production workflow for technical B2B and developer-community content pieces. Invoke when an author needs to produce a migration story, technical deep dive, architectural decision piece, how-to guide, or thought-leadership article from scratch. This…
原文の言語: 英語
Decide whether a changelog entry should stand alone or batch with others, run the quality gate, and produce a publish-ready entry with SEO title and visual recommendation.
原文の言語: 英語
Designs the zero-to-one distribution motion: how a founder gets the first ~100 users when there is no audience, no budget, and no repeatable channel yet. Names the minimum viable audience, picks the unscalable founder-led move to do first, then runs a cheap…
原文の言語: 英語
Select the right developer community platform(s) for a product launch, time the posts correctly per platform, and draft the submission with platform-specific norms applied.
原文の言語: 英語
Manages a portfolio of concurrent growth experiments: stage isolation rules, horizon balancing (quick/medium/long), interaction effect detection, cadence design, resource allocation, and portfolio health metrics. A single experiment tells you one thing; a…
原文の言語: 英語
Closes an experiment: reads results against the original spec, renders a Win / No Signal / Loss / Confounded verdict, extracts the learning (why, not what), and specifies the next action. Required when any experiment window closes. Connects back to…
原文の言語: 英語
Finds the single constraint in a conversion funnel. Takes any funnel shape (AARRR, PLG onboarding, SLG pipeline, content/SEO), identifies where the most volume is being lost, classifies the bottleneck type, and outputs ranked experiment hypotheses. Use when…
原文の言語: 英語
Designs a growth experiment: falsifiable hypothesis, specific tactic, numeric success metric, effort estimate, channel-motion match, and a distribution handoff block. Default is shippable in 7 days with readable signal in 14. Feeds directly into…
原文の言語: 英語
Diagnoses whether a product grows through funnels (linear) or loops (compounding), selects the right loop archetype, calculates the k-factor (loop coefficient), and identifies the weakest conversion step to improve. Invoke when the team is deciding which loop…
原文の言語: 英語
Select the right launch format (blitz / launch-week / full-week) and produce a structured phase plan for a discrete product or feature launch.
原文の言語: 英語
Designs or audits a Community-Led Growth motion for a developer-first product: diagnoses the current community stage, selects the one primary venue, designs the content loop by conversion impact, measures community health, and connects community output to…
原文の言語: 英語
Coordinates a Mixed/Multi-Led Growth motion when PLG and SLG are both active in the same accounts: detects MLG territory, maps the account duality between IC champions and economic buyers, designs a "one story, two frames" content strategy, defines handoff…
原文の言語: 英語
Designs or audits a Product-Led Growth motion: checks PLG readiness, defines the First Value Moment, designs the activation funnel, runs the onboarding audit protocol, and specifies the PLG-to-SLG handoff. Use when building PLG from scratch, diagnosing why…
原文の言語: 英語
Designs or audits a Sales-Led Growth motion for a developer-first product: checks SLG readiness, maps the full deal anatomy, runs a sales enablement content gap analysis, designs the PLG-to-SLG handoff protocol, and checks pipeline health against benchmarks.…
原文の言語: 英語
Designs and runs a newsletter as a compounding growth loop — not a broadcast and not SEO. Covers the subscribe→open→value→share loop, single-issue architecture (one idea, a lead that earns the open, a takeaway worth forwarding), subject/preview lines, where…
原文の言語: 英語
Selects and validates the North Star Metric (NSM), builds the input metric tree beneath it, defines guardrail metrics that cannot be sacrificed, and designs the review cadence. The NSM is the single metric that most accurately captures the value the product…
原文の言語: 英語
Designs the outbound GTM motion: which signals to prioritize, how to score and sequence accounts, and what the first-touch cadence looks like. Produces a motion spec — a decision framework for the outbound program, not a campaign execution tool. Use when the…
原文の言語: 英語
Diagnoses whether paid acquisition is the right motion at the current stage, and if so, which channels have structural fit. Produces a go/no-go decision per channel with explicit fit criteria and a test-budget recommendation. Use before committing paid…
原文の言語: 英語
Diagnoses user retention using cohort data. Classifies the retention curve shape, identifies the churn type, matches the right intervention to the right problem, and points to the next experiment. Use when retention is below benchmark, when you have a…
原文の言語: 英語
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原文の言語: 英語
Decides which intent signals, firmographic triggers, and behavioral indicators to buy, monitor, or build — and how to weight them in account scoring. Use before investing in signal data subscriptions, or when the current signal stack is generating noisy or…
原文の言語: 英語
Designs the hardware GTM channel strategy: selects the right channel type (SI / OEM / VAR / distributor / DTC), qualifies partners, defines co-sell mechanics, and sets MDF allocation rules. Runs the three-pillar check (Pillar 3) as a gate before channel…
原文の言語: 英語
Designs and scripts hardware product demonstrations: live demos, 60-second distribution videos, and application library content. Applies the five-step demo sequence and no-narration rule. Outputs a demo script, video brief, or application library structure…
原文の言語: 英語
Coordinates a hardware product launch. Mandates the three-pillar check (Product Force / Supply Chain / Channel) before any brand or marketing decisions. Two phases: pre-launch QA (certifications, yield, partner readiness) and go-live execution (channel…
原文の言語: 英語
Bridge for hardware teams adopting digital growth methods. Translates software growth concepts (funnel, activation, PLG signals, community) into hardware-native equivalents. Non-blocking signal module — outputs carry bridge metadata and do not gate any…
原文の言語: 英語
Designs and manages the hardware deal progression through three stages: DEMO → POC → PILOT → PRODUCTION CONTRACT. Defines bounded POC scope, measurable success criteria, and explicit go/no-go clauses to prevent the two most common hardware deal failures:…
原文の言語: 英語
Designs the recurring revenue layer for hardware companies: software license, maintenance and support, consumables, professional services, and data/insights tiers. Models LTV, defines the Year-1 bundling strategy, and builds the commoditization defense. A…
原文の言語: 英語
Converts hardware safety certifications into trust-building GTM content: safety pages, transparency reports, certification-to-content conversion, and incident communication protocols. Safety is the highest-leverage trust signal with the stakeholders who block…
原文の言語: 英語
GTM playbook for AI API products targeting developers: the API-first PLG flywheel, playground and SDK design as growth levers, cookbook and tutorial strategy, Hugging Face and GitHub as primary distribution channels, and developer community mechanics for AI…
原文の言語: 英語
Designs, publishes, and distributes AI benchmarks and evals as a growth channel. Covers what makes a benchmark worth publishing, the benchmark-to- distribution pipeline, writing rules for benchmark posts, platform-specific formats for HN and Twitter, and when…
原文の言語: 英語
Designs AI output sharing mechanics that turn users into a distribution channel. Covers the three types of AI virality, where to place share moments in the product, what outputs are inherently shareable, platform fit for different output types, embedding the…
原文の言語: 英語
Designs the trust arc for AI products: from first wow moment through production-grade reliability. Covers the three trust types users need to cross before they rely on an AI product, specific mechanisms for each, and how to make limitations a trust signal…
原文の言語: 英語
Designs and optimizes usage-based pricing for AI products: how to calibrate freemium tiers, model LTV for token/credit economies, design upgrade triggers from usage signals, and avoid the traps specific to AI pricing. Use when setting up a freemium tier,…
原文の言語: 英語
Analyzes a draft for the patterns that make writing read as AI-generated — across structure, vocabulary, transitions, rhythm, punctuation, and closings — and returns a scored authenticity audit with a specific rewrite directive for each defect, rewriting…
原文の言語: 英語
Scores narratives, positioning blurbs, GTM briefs, and campaign summaries across 7 brand calibration dimensions before they drive external campaigns or circulate beyond the immediate team. Invoke when any directionally relevant narrative needs a framing and…
原文の言語: 英語
Produces a strategic competitive landscape map and per-competitor battlecard. Use before finalizing positioning, before a major launch, or when the competitive set has shifted meaningfully. Required upstream input for /sales-enablement. Not a monitoring cron…
原文の言語: 英語
Scores content pieces and experiment specs before publication or launch. Part A: content scoring (8 dimensions, 0.0–1.0 each). Part B: experiment spec scoring (8 dimensions). Calibrated examples anchor scores across sessions. Verdict: APPROVE / REVISE /…
原文の言語: 英語
Produces a time-bound GTM brief artifact from ICP research, competitive intelligence, product truth, and a defined time horizon. Invoke when turning research, launch context, competitive signals, or founder/PM intent into a structured, actionable plan. This…
原文の言語: 英語
Turns raw customer research signals (interviews, support tickets, reviews, sales calls, churn notes) into a sharp ICP profile: trigger event, JTBD, deciding language, alternatives considered, and segment priority. Required upstream input for /positioning,…
原文の言語: 英語