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「playbook」の検索結果

652 件 ・ 関連度順

概要と使いどころ

账号被限流/异常/担心操作触发风控/需要恢复时用:先自检from:@用户名搜不到即限流→区分临时标签(等24h不动账号)与正式标签(写申诉邮件+48h不操作)→复盘触发原因预防复发。Trigger:"推文搜不到了""被限流了""账号异常""触发风控""临时标签""怎么申诉""shadowbanned""account suspended""appeal suspension""tweets not showing up"。不适用:正常发内容没出问题(→内容创作skill)、新号开业装修养号(→x-account-setup)、没粉丝怎么起量(→x-cold-start-playbook)。

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。

kangarooking/X-growth-skills702026年7月14日 更新

规划变现路径/判断够不够格开创作者收益/决定卖什么产品时使用。三层金字塔定位:底层流量型(商单+广告分成,需500蓝V+3月5M曝光)、中层产品型(课程/付费专栏/带货)、顶层服务型(咨询/高端社群,利润率>80%)。IP路线可叠三层,泛流量卡底层。Trigger:"怎么变现""够不够格开收益""卖什么产品""monetize""creator revenue""what to sell"。不适用:没粉丝的冷启动(→x-cold-start-playbook)、选IP还是泛流量(→x-positioning-tradeoff)、开蓝V/装修(→x-account-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。

kangarooking/X-growth-skills702026年7月14日 更新

新号没粉丝、推文没人看、怎么度过冷启动时用。涨粉四步漏斗(曝光→展开→Profile门面→关注)诊断丢哪步,按边际回报排序投六策略:大V评论区抢占(最高)/引用转发+深度观点/每日发推/互关社区(≤15/天)/蹭热点/互动率优先;前24h主动加热突破初始池。Trigger:"没粉丝""帖子没人看""冷启动""怎么起量""0 followers""no engagement""cold start"。不适用:开业前装修/蓝V/养号(→x-account-setup)、已有稳定粉丝日常运营、限流封号排查(→x-account-pitfalls)、纯评论技巧(→x-comment-engagement)。

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。

kangarooking/X-growth-skills702026年7月14日 更新

Use when an existing repository contains agents, prompts, workflows, playbooks, commands, or Skills and you need to identify which capabilities are worth converting into a ChatGPT/Codex Plugin.

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。

imMamdouhaboammar/chatgpt-codex-plugin-autopilot642026年9月10日 更新

Use when a repository has a valuable agentic workflow, prompt chain, playbook, command, or runbook that should become a portable ChatGPT/Codex Skill without losing its real decision logic.

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。

imMamdouhaboammar/chatgpt-codex-plugin-autopilot642026年9月10日 更新

Guide plan → instrument → execute → validate with explicit checkpoints and questions. Use for ambiguous tasks or when enforcing a consistent agent workflow.

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。

diegosouzapw/awesome-omni-skill622026年3月2日 更新

Expert FinOps guidance for cloud, AI, and SaaS technology spend. Covers AI cost management, agentic FinOps, GenAI capacity planning, self-hosted vs managed inference, Anthropic billing, open-weight vendor APIs (DeepSeek, Qwen, Kimi, GLM), AWS (EC2, Bedrock, SageMaker, Savings Plans, CUR), Azure (reservations, AHB, OpenAI PTUs), GCP (Vertex AI, BigQuery), OCI, Kubernetes cost allocation, data platforms (Databricks, Fabric F-SKUs, Snowflake), tagging governance, SaaS management (SAM, shadow IT), AI coding tools (Cursor, Claude Code, Copilot, Codex), ITAM, allocation, showback, chargeback, anomaly management, KPIs and benchmarking, waste detection playbooks, workload onboarding and M&A, and GreenOps (cloud carbon, CSRD). Use for any question about technology cost or waste in your estate - expiring commitments or RIs, NAT gateway bills, idle VMs, snapshot sprawl - and for commitment sizing, rightsizing, allocation, SaaS sprawl, AI dev tool spend, or connecting spend to business value. Built by OptimNow.

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。

OptimNow/cloud-finops-skills602026年10月13日 更新

Builds, revises, restyles, and critiques deliberate, editable Feishu / Lark whiteboards from content, references, existing SVGs, or live boards. Use for whiteboards, infographics, diagrams, system maps, timelines, decision boards, posters, and visual explainers that need factual fidelity, strong hierarchy, intentional composition, and evidence-based review rather than a generic grid of equal cards. Routes creation, revision, and critique through separate playbooks; commits to a content-and-design contract before drawing; validates deterministic SVG defects; renders and inspects the actual artifact; and uses an independent final reviewer for material deliveries.

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。

LcpMarvel/feishu-whiteboard-pro602026年8月31日 更新

Use when building or refining an Ideal Customer Profile (ICP), defining target personas, mapping buyer psychographics, or discovering where prospects gather online. Triggers: 'build my ICP', 'define target customer', 'who should I sell to', 'refine ICP', 'persona mapping'.

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。

Othmane-Khadri/gtm-engineer-playbook582026年4月6日 更新

Use when generating weekly GTM performance reports, summarizing pipeline activity, reviewing outreach metrics, or creating executive updates. Triggers: 'weekly report', 'GTM report', 'pipeline review', 'weekly update', 'outreach summary', 'Friday report'.

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。

Othmane-Khadri/gtm-engineer-playbook582026年4月6日 更新

Use when searching for buying signals, detecting intent data, scoring prospect readiness, or monitoring accounts for trigger events. Triggers: 'scan for signals', 'find buying signals', 'who is ready to buy', 'intent signals', 'signal scoring', 'account signals'.

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。

Othmane-Khadri/gtm-engineer-playbook582026年4月6日 更新

Use when creating outreach sequences, writing cold email campaigns, building multi-channel cadences, designing follow-up flows, or crafting signal-triggered messages. Triggers: 'build an outreach sequence', 'write a cold email sequence', 'create a cadence', 'outreach for [signal]', 'email sequence', 'follow-up sequence', 'multi-channel outreach'.

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。

Othmane-Khadri/gtm-engineer-playbook582026年4月6日 更新

Use when auditing CRM data quality, finding duplicate records, identifying stale leads, cleaning pipeline data, or improving data hygiene. Triggers: 'clean my CRM', 'audit CRM data', 'find duplicates', 'CRM hygiene', 'data quality check', 'stale leads', 'pipeline cleanup'.

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。

Othmane-Khadri/gtm-engineer-playbook582026年4月6日 更新

Use when analyzing competitors, creating sales battlecards, building competitive positioning, preparing for competitive deals, or updating competitive intelligence. Triggers: 'battlecard for [competitor]', 'competitive analysis of [competitor]', 'how do we beat [competitor]', 'compare us to [competitor]', 'competitive intel', 'win against [competitor]'.

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。

Othmane-Khadri/gtm-engineer-playbook582026年4月6日 更新

Use when preparing to engage a target account, researching a company before outreach, or building pre-call intelligence. Triggers: 'research this company', 'account brief for [company]', 'company research', 'what do I need to know about [company]', 'pre-outreach research'.

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。

Othmane-Khadri/gtm-engineer-playbook582026年4月6日 更新

Use when designing an autonomous agent, planning agent architecture, building a scheduled automation, or creating a Claude Code agent workflow. Triggers: 'design an agent', 'build an automation', 'agent architecture', 'automate this workflow', 'create a scheduled agent', 'shell script agent'.

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。

Othmane-Khadri/gtm-engineer-playbook582026年4月6日 更新

Use when scoring leads, qualifying prospects, prioritizing pipeline, deciding which accounts to pursue, or building a lead scoring model. Triggers: 'score this lead', 'qualify this prospect', 'is this a good lead', 'lead scoring', 'prioritize my pipeline', 'qualification framework'.

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。

Othmane-Khadri/gtm-engineer-playbook582026年4月6日 更新

Use when preparing for a sales meeting, discovery call, demo, or customer check-in. Triggers: 'prep me for a meeting with [company]', 'meeting brief for [company]', 'pre-call prep', 'I have a call with [contact] at [company]', 'meeting prep', 'call prep'.

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。

Othmane-Khadri/gtm-engineer-playbook582026年4月6日 更新

Portable Codebase Argus agent playbook for evidence-first multi-agent review of GitHub pull requests, CI failures, GitHub Actions logs, GitHub App webhook review, /argus PR comment commands, autofix branch planning, OpenAI/Claude/Gemini/Codex provider tribunals, downstream merge/rebase work, and long-lived fork sync against an upstream repository.

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。

AaronZ345/codebase-argus582026年7月24日 更新

Code-rendered motion video for a product or a client, built the way a motion studio would do it. Every frame comes from an HTML seek(t) page rendered by Playwright at 1080p60 with real motion blur, using real product UI and screenshots with a privacy blur, and an ElevenLabs hype score cut on bar lines with its drop verified on the reveal. Three formats — a 20-30 s hype launch spot, a polished feature walkthrough from real screenshots, and a 19 s pain-point video with a muted site cut and burned-in text. Delivered with baked posters, H.264 + VP9 web encodes at 1280 px (1.5-3 MB), a site-embed kit (muted autoplay or click-to-play), 9:16 social re-layouts and share copy, plus a service playbook for selling it. Use when "make a launch video", "make a commercial / promo / ad spot", "motion design video", "product walkthrough video from screenshots", "pain point videos for the site", "videos for the homepage", "sell video production", "price a video package", or a polished brand spot is wanted rather than a talking-head edit or a Remotion template batch (use /kai-video-production for those).

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。

cgallic/kai-cmo-harness562026年10月3日 更新

Generate a stage-appropriate marketing plan based on your company's MRR/stage. Uses the marketing-by-stage playbook to tell you exactly what to do (and what NOT to do) at pre-launch, early ($0-10K MRR), growth ($10-100K MRR), or scale ($100K+ MRR). Use when "what should I do for marketing", "growth plan", "marketing plan", "I just raised a round", "marketing strategy", "what's the right marketing for my stage", "GTM strategy", or any request for a stage-appropriate marketing roadmap.

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。

cgallic/kai-cmo-harness562026年10月3日 更新

Triages AWS CloudWatch alarms using the CloudWatch DescribeAlarms API, GetMetricData for historical analysis, and CloudTrail LookupEvents for root cause correlation. Prioritizes alerts by blast radius and provides remediation playbooks.

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。

agentskillexchange/skills522026年10月13日 更新

Coordinates remediation playbooks with AWS Systems Manager Automation, Incident Manager, and CloudWatch alarm context for repeatable operational recovery. Useful for agents that need to recommend or launch the right runbook when alarms cross into known failure territory.

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。

agentskillexchange/skills522026年10月13日 更新

Monitors ArgoCD applications for configuration drift using the ArgoCD REST API and grpc-gateway. Compares live Kubernetes manifests against Git-declared state and generates remediation playbooks via kubectl diff.

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。

agentskillexchange/skills522026年10月13日 更新