2,507 件 ・ 関連度順
概要と使いどころ
Developer relations playbook builder — produces a DevRel program design covering community platform, contributor program tiers, ambassador criteria, event strategy, and success metrics. Use when asked to "build a DevRel program", "design our developer community", "create a contributor program", "start a developer advocacy program", or "how do we grow our dev community".
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。
Design escalation path -- Tier 1 to Tier 2 to Engineering handoff, decision criteria, and communication templates. Use when asked to "design our escalation process", "when should support escalate to engineering", "build an escalation runbook", or "reduce escalation rate".
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。
Expert guide for Feature Flags & Progressive Rollout (PostHog, LaunchDarkly, GrowthBook), A/B testing orchestration, and canary releases / Panduan ahli Feature Flags, A/B testing, dan rilis bertahap.
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。
Field observation, data collection, and research methods for geographic inquiry. Covers site selection and sampling strategies, field observation techniques (landscape reading, transects, quadrats), survey and interview methods for human geography, GPS and field mapping, environmental monitoring and instrumentation, data recording and field notebooks, ethical considerations in fieldwork, and the integration of field data with GIS analysis. Use when planning geographic field research, designing data collection protocols, evaluating field evidence, or connecting field observations to broader geographic analysis.
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。
Systems engineering covering requirements management, the V-model lifecycle, integration planning, verification and validation (V&V), interface control, trade studies, and the NASA Systems Engineering Handbook. Spans the full lifecycle from concept through operations and disposal. Includes requirements decomposition, traceability matrices, configuration management, and technical performance measures. Use when managing complex system development, writing requirements, planning integration, or conducting V&V activities.
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。
The creative process in art from idea to exhibition. Covers five phases of creative work (inspiration, incubation, exploration, execution, reflection), sketchbook practice, artist statements, critique methodology (formal and conceptual), portfolio development, and the studio as a working environment. Use when guiding students through project development, facilitating critique sessions, developing artist statements, curating portfolios, or understanding how professional artists structure their creative practice.
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。
Guidance for verifying documentation accuracy against running OpenStack infrastructure. Use when detecting documentation drift, validating operations procedures against live systems, or confirming that runbooks produce expected results on the deployed cloud. Implements NASA Product Verification (SP-6105 SS 5.3) applied to documentation artifacts.
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。
Apply best practices for Jupyter notebooks: cell ordering, reproducibility, parameterisation. Use when working with .ipynb files.
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。
Evaluate operational readiness: SLOs, alerting, runbooks, and rollback plan before launch. Use when reviewing a feature for production readiness.
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。
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。
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。
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。
新号注册或老号解冻后做开业准备时用：装修Profile四要素（头像真人/昵称关键词+身份/简介价值承诺/背景图）→开蓝V(Premium)→养号3天只浏览→再发内容。Trigger："新号第一天""要不要开蓝V""怎么装修主页/头像/昵称/简介""新号怎么养号""day 1 new account""should I get Premium""set up profile""warm up account"。不适用：已运营账号日常发内容/没粉丝(→x-cold-start-playbook)、被限流封号后排查(→x-account-pitfalls)。
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。
当用户想在大V帖下评论获取曝光、纠结Repost还是Quote、或问"怎么引发互动""怎么在别人帖下获曝光又不被当蹭流量"时调用。六种评论互动法(有价值提问/A-B引战/坎宁汉姆定律/真诚请教/生活日常/找骂)+高质量回复吃原帖流量+Repost vs Quote区分。Trigger:评论互动/蹭流量/Quote还是Repost/评论区抢占/comment engagement/quote vs repost/how to reply for exposure。不适用于:自己发原创帖(用x-short-content-craft)、冷启动整体策略排序(用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。
Adhoc workflow for small targeted changes to existing behavior or appearance, without the full story ceremony. Use when the orchestrator encounters a bug with a clear root cause and surgical solution, OR a small enhancement to something already built (a different icon, wording, spacing, color). Triggers on: 'fix this', 'this is broken', 'the alignment is off', 'that button doesn't work', 'quick fix', 'patch this', 'tweak this', 'change the icon', 'adjust the wording', post-story corrections, or any situation where the write gate blocks a small targeted change. Acts NOW - a defect to file and fix later belongs in /craft:bugs, other deferred work in the notebook. Do NOT use for new features, design exploration, or changes requiring creative spark.
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。
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
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。
A comprehensive guide for using ConfigHub to manage Kubernetes configuration across multiple environments using Configuration as Data principles. This rulebook covers installation, configuration management, variant handling, and operational workflows.
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。
Anna's Archive integration for academic paper and book retrieval. Search shadow libraries (Library Genesis, Z-Library, Sci-Hub) via unified API with GF(3) balanced caching.
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。
Specialist skill for Python data engineering — pandas, polars, DuckDB, numpy, ETL pipelines, tabular data ingestion, and notebook-to-module extraction. Use when working with dataframes, data validation at ingress boundaries, merge/join operations, typed column contracts, or choosing between pandas vs polars vs DuckDB for a data 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。
Use when the plan_ref returned by add-new-feature is provided. Executes the SAM implementation loop — opens an attempt per ready task, dispatches each to a specialist agent in parallel, settles and judges what comes back, manages bookend tasks (T0 baseline capture and TN verification), and tracks concerns and contract violations per task. Drives task state through the work ledger via the SAM CLI.
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。
GTM prospecting, enrichment, outreach, and Deepline Play work/audits. Providers: adyntel,affinity,ai_ark,akta,allegrow,amplemarket,apify,attention,attio,aviato,bettercontact,bigquery,bluesky,bounceban,brave,browserbase,builtwith,cbinsights,clay,clickhouse,cloudflare,contactout,contextdev,crunchbase,crustdata-v3,customer_db,databricks,dataforseo,datagma,dealroom,deepline_ip_to_company,deepline_native,deeplineagent,discolike,dropleads,edges,emailbison,emailguard,enformion,enigma,exa,findymail,firecrawl,fireflies,firmable,forager,fullenrich,fundable,generic_http,getleads,gong,google_ads_audiences,google_workspace,govfiles,grain,hackernews,harvestapi,heyreach,hubspot,hunter,icypeas,instantly,intercom,ipqs,kaspr,kernel,leadmagic,lemlist,limadata,linkedin_ads_audiences,luma,lusha,meta_audiences,millionverifier,nooks,notion,openmart,opensosdata,openwebninja,outreach,parallel,peopledatalabs,pitchbook,podscan,polymarket,postgres,predictleads,prospeo,quickenrich,rapidapi,redshift,rocketreach,salesforce,salesforge,….
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。
Opens a deliverable (talk, course module, paper, book chapter, or referee report) for AI-assisted work across sessions. Interviews the author for the manifest, then scaffolds deliverable.yml, an append-only HANDOFF.md, a numbered planning/ wiki with open questions, an inbox/ for dictated braindumps, a gitignored checks/, and the house deck template for talks. Use when starting deadline-driven work that spans sessions, or when asked to open a deliverable, set up a talk, paper, or module for the pipeline, or make a manifest. Not for one-off 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。
Runs several language models as independent coders on one labeling or discovery task and treats disagreement as data. Covers diverse panel assembly, independent voting, consensus rules, Cohen’s and Fleiss kappa, Krippendorff’s alpha, correlated-error limits on validity claims, human validation, and reporting. Use when the user asks about a council, panel, ensemble, or jury of models, how to combine model labels, or what kappa or alpha to report for model coders. Single-model codebook and validation work goes to text-classification, per-item confidence to llm-calibration-logprobs.
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。
Runs several language models as independent coders on the same labeling or discovery task and reads their disagreement as data — panel assembly for model diversity, keeping votes independent, consensus rules, agreement statistics (Cohen's and Fleiss kappa, Krippendorff's alpha), the correlated-errors caveat that stops agreement being mistaken for validity, human validation beyond the panel, and reporting. Use when the user asks about a council, panel, ensemble, or jury of models, asks how to combine several models' labels, or asks what kappa or alpha to report for model coders. Single-model codebook and validation work goes to text-classification, per-item confidence to llm-calibration-logprobs.
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。