「how」の検索結果

Diagnoses why your product team ships slowly and produces a velocity plan with a baseline, a bottleneck map, the top 3 interventions and a stop-doing list. Use it when you say 'we're too slow', 'how do we ship faster', 'projects keep slipping', 'too many meetings', 'approvals take forever', 'our releases are scary', 'velocity', 'cycle time', 'we hired more people and nothing got faster' or 'AI made coding fast but we still ship slowly'. Draws on 226 Lenny's Podcast guests including Farhan Thawar, Nicole Forsgren and Melissa Perri.

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Builds your north star metric, a metric tree with owned input metrics and guardrails, and a review cadence, as a one-page metrics spec you can paste into a doc. Use it when you ask 'what should our north star be', 'which metric should this team goal on', 'our dashboard is a mess', 'how do we measure AI productivity', 'activation metric', 'OKR metrics', 'vanity metrics', or 'metrics review cadence'. Draws on 254 insights from 118 Lenny's Podcast guests incl. Sarah Tavel, Crystal Widjaja and Jessica Lachs.

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Builds a positioning canvas (competitive alternatives, differentiated value, best-fit customer, category) plus a strategic narrative and sales-pitch storyboard, and grades existing positioning or messaging. Use for 'positioning', 'how do we describe our product', 'messaging', 'our pitch isn't landing', 'category', 'differentiation', 'one-liner', 'value prop', 'old game new game'. Draws on 43 Lenny's Podcast guests incl. April Dunford, Andy Raskin and Arielle Jackson.

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 a product strategy and stress-tests your moat, then writes a one-page strategy doc (diagnosis, where to play, how to win, guiding policy, coherent actions, moat verdicts). Use for 'we need a product strategy', 'is our moat real', 'do we have a competitive advantage', 'where should we play', 'defensibility', 'should we expand into X', 'our roadmap has no strategy', or 'write a product vision'. Draws on 909 insights from 236 Lenny's Podcast guests incl. Roger Martin, Richard Rumelt and Hamilton Helmer.

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。

Writes (or rewrites) a spec, PRD, PR-FAQ or shaped pitch and grades it against what the best product teams actually do. Use when you ask 'write a PRD', 'how do I spec this', 'PR/FAQ', 'working backwards doc', 'shape this project', 'do we even need a PRD', or 'engineering says the spec isn't detailed enough'. Draws on 56 insights from 38 Lenny's Podcast guests incl. Ryan Singer, Bill Carr and Lane Shackleton.

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Builds a launch plan, launch story and press/distribution plan, then drafts the pitch emails and announcement copy. Use when you say 'launch plan', 'how do I get press', 'pitch a reporter', 'announce funding', 'go-to-market for a feature', 'Product Hunt', 'press release', 'launch messaging' or 'we shipped and nobody noticed'. Draws on 394 insights from 124 Lenny's Podcast guests, led by Emilie Gerber, Lulu Cheng Meservey and Jason Feifer.

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。

Diagnose where your growth is actually leaking (acquisition, activation, retention, or loops) and produce a growth plan with a named loop, an activation definition, a 90-day experiment portfolio and channel guardrails. Use it when someone says growth stalled, signups don't activate, retention is flat, how do we build a growth loop, should we go PLG, onboarding redesign, churn, referral program, or which channel should we bet on. Draws on 672 insights from 143 Lenny's Podcast guests, led by Elena Verna, Casey Winters and Lauryn Isford.

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。

Designs customer interviews and turns the transcripts into decisions. Produces an interview guide plus a synthesis (forces of progress, jobs, pathways, opportunities) you can paste into a doc. Use for 'customer interviews', 'discovery calls', 'JTBD', 'switch interview', 'who should I talk to', 'how many interviews', 'synthesize these transcripts', or 'why do customers churn/buy'. Draws on 140 Lenny's Podcast guests incl. Teresa Torres, Bob Moesta and Judd Antin.

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 founders and marketers nail their positioning. Use when someone mentions "positioning," "value proposition," "who is this for," "how do I describe my product," "messaging," "ICP," "ideal customer," or is struggling to articulate what makes their product different.

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。

Flowcharts are composed of **nodes** (geometric shapes) and **edges** (arrows or lines). The Mermaid code defines how nodes and edges are made and accommodates different arrow types, multi-directional arrows, and any linking to and from subgraphs.

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When user is asking for guidance for which role to assign to an identity given desired permissions, this agent helps them understand the role that will meet the requirements with least privilege access and how to apply that role.

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Debug WebSocket connection issues between CLI and FigJam plugin. Use when diagrams aren't syncing, connection fails, plugin shows "Connecting..." indefinitely, or patches aren't being applied to canvas.

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。

This skill should be used when analyzing binaries, executables, or bytecode to understand what they do or how they work. Triggers on "binary", "executable", "ELF", "what does this do", "reverse engineer", "disassemble", "decompile", "pyc file", "python bytecode", "analyze binary", "figure out", "marshal". Routes to sub-skills for triage, static analysis, dynamic analysis, synthesis, or tool setup.

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。

Enhancement-overlay decision protocol for STREAMING the output of long-running LLM / agent runs from the *backend*, not just wiring a typing animation in the UI. Activates when a coder agent must stream final tokens to a chat client, surface intermediate agent steps (which tool, which node, partial reasoning), emit custom tool-progress events, choose a transport (SSE vs WebSocket), or decide what to do when the client disconnects mid-stream. The langchain / langgraph skills mention stream modes but stop at "you can stream"; this skill encodes *what to stream, over what transport, and how to fail safely*.

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Re-ingest-correctness SOP for production RAG. Activate when a calling agent builds, reviews, or debugs an ingestion pipeline that runs more than once over a changing corpus — scheduled re-index, incremental updates, CI re-ingest, or a "retrieval has duplicates / shows deleted docs" bug. Encodes the rule — **ingestion must be idempotent: a document's content hash decides insert/update/skip, so re-running over unchanged docs is a no-op** — plus the docstore + doc-hash upsert machinery (LlamaIndex `IngestionPipeline` + `DocstoreStrategy`), the delete-propagation problem, and cross-framework equivalents (LangChain `index()` + `RecordManager`, manual hash table). ENHANCE overlay over [[llamaindex]]: the IngestionPipeline exists in the base skill but the re-ingest-correctness contract is not surfaced.

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Decomposed, multi-criteria metric design for LLM pipelines. The metric IS the model — change the metric and the optimizer changes behavior. Decompose by default; bool during compile, float during eval; calibrate against human; mitigate judge bias. Search keywords: LLM-as-judge, llm as judge, eval metric, evaluation score, scoring function, rubric, RAGAS, G-Eval, judge bias, verbosity bias, how to evaluate LLM output.

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。

Decision protocol for managing the context/session state of an AI coding tool: when to /clear, when to keep context, and how to detect "context bleed" — the failure mode where stale conversation history biases the model against the current task. Surfaces a discipline that Aider (/clear), Claude Code (/clear), CrewAI (memory=False, re-instantiate), and LangGraph (new thread_id, subgraph isolation) all encode separately but none name as a skill.

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 Claude Code session bloat — shows token count, context usage %, and bloat breakdown. Use when the user asks about session size, context usage, or when you notice the context window is getting full.

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。

Establishes how to find and use skills, requiring Skill tool invocation before any response. Use when starting any conversation.

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。

Presents options for merge, PR, or cleanup. Use when work is complete, tests pass, and you must decide how to integrate.

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。

Generate SaaS product launch and software demo video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants a product launch video, app demo, software walkthrough, feature showcase, startup promo, tech product reveal, or any SaaS/software marketing video. Triggers on SaaS, app, software, product launch, demo, feature, startup, tech, UI, dashboard, landing page video.

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。

Generate faceless content video prompts for Seedance 2.0 on Higgsfield. Use for faceless YouTube channels, TikTok content without showing face, anonymous creator content, narration-driven videos, stock-footage-style AI content, or any video where the creator doesn't appear on camera. Triggers on faceless, no face, anonymous, narration, stock footage, b-roll, background video, voiceover video.

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。

Generate luxury and premium aesthetic video prompts for Seedance 2.0 on Higgsfield. Use for luxury brand content, premium product showcases, high-end lifestyle, minimalist aesthetic, elegant brand videos, or any content requiring sophisticated visual treatment. Triggers on luxury, premium, high-end, elegant, minimalist, sophisticated, exclusive, refined, designer, couture, bespoke.

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。

Generate before-and-after transformation video prompts for Seedance 2.0 on Higgsfield. Use for transformation reveals, glow-ups, makeovers, renovation reveals, fitness transformations, design before-after, business growth visuals, or any content showing dramatic change. Triggers on before after, transformation, reveal, glow up, makeover, renovation, redesign, progress, results.

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。