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概要と使いどころ
Runbook for scoring and routing a new HubSpot lead to the right rep for {{projectName}} — territory matching, segment specialists, the stateless round-robin pool, intent scoring, HubSpot property writes, Slack notifications, and when to escalate an ambiguous lead to a human instead of guessing.
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。
Employee offboarding runbook for {{projectName}}. Detects newly marked departures via the {{hris_group}} group in Okta, then works one independent case per departure across Okta, Google Workspace, Google Drive, and GitHub — revoking access, transferring ownership, and reclaiming licenses — holding the ownership transfer for a human approval gate (never deleting an account) and posting the completed checklist to {{notify_channel}}.
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。
New-hire onboarding runbook for {{projectName}}. Detects new-hire records via the {{new_hire_group}} group in Google Workspace, then works one scoped case per hire — preparing the Workspace account and group memberships, adding them to the right Slack channels, and filing a first-week checklist in the {{onboarding_project}} Linear project — holding account creation and group membership for a human approval gate and posting the result to {{notify_channel}}.
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。
Runbook for turning a new HubSpot lead in {{hubspot_list}} into a researched, personalized outbound sequence for {{projectName}}. Covers enrichment research, the outreach playbook (angles, proof points, what to avoid), sequence drafting, HubSpot logging, the daily cap, and the human approval gate before anything sends.
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。
Runbook for turning a new HubSpot lead into a researched, personalized follow-up email and a proposed call slot for {{projectName}}. Covers company research, the sales playbook (positioning, tone, qualifying questions), HubSpot record updates, Google Calendar availability, and the human approval gate before anything sends.
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。
Daily runbook for tracking new customer accounts against onboarding milestones in Postgres and HubSpot for {{projectName}}. Covers the milestone framework, stall and overdue detection, nudge drafting, the owning-CSM alert, and the human approval gate before anything sends or changes account state.
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。
Nightly HubSpot CRM hygiene runbook for {{projectName}}. Finds and merges duplicate contacts, fills missing fields from enrichment data, flags stale deals, and gates any bulk field update over {{bulk_update_threshold}} records behind human approval.
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。
Daily interview-scheduling sweep for {{projectName}}. Reads {{greenhouse_pipeline}} for candidates ready to schedule and each one's interview plan, checks {{interviewer_calendars}} for panel availability, and drafts a candidate slot proposal plus a calendar invite per interviewer to {{coordinator_review_inbox}}. Never sends a proposal or invite and never makes a hiring decision; a coordinator confirms and sends everything.
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。
Fresh-session RFP and proposal-questionnaire response for {{projectName}}. Parses a new inbound RFP from {{rfp_label}} in Gmail and its attached document in Google Drive, matches each question to our vetted past-answers library and product docs, drafts the full response in a new Google Doc inside {{drafts_folder}}, flags anything it can't answer confidently, and leaves an unsent Gmail draft linking it — holding the completed response for a human to review and submit.
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。
Artifact-agnostic design guidance — works for CSS, PowerPoint, matplotlib, PDF, or any visual output. Also includes a curated catalog of named font/color themes for slides, docs, and reports (non-web assets).
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。
Daily compliance-drift check for {{projectName}}. Reads AWS resource state and audit logs across {{aws_regions}}, compares against the compliance policy stored in skills and memory, files every finding, and drafts proposed remediation as a reviewed change — never applying a fix. Load this when the daily cron fires the sweep, or a human asks for a compliance, drift, or policy check.
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, rename, move, audit, test or refine Agent Zero skills and reusable 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。
4-tier progressive web scraping that auto-escalates WebFetch to curl to Interceptor to Bright Data proxy for bot detection and CAPTCHAs, with single-URL and multi-page crawl modes, output as markdown. USE WHEN Bright Data, scrape URL, web scraping, bot detection, crawl site, CAPTCHA, can't access, site blocking, extract page content, scrape whole site, spider domain, convert URL to markdown, getting blocked. NOT FOR simple public content (use WebFetch directly), social platform scraping with named actors (use Apify), or real-Chrome bot bypass with logged-in sessions and zero CDP fingerprint (use Interceptor).
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。
Evidence-grounded context refresh: reads constitutional files, TELOS, and CURRENT_STATE/IDEAL_STATE dimension files via TelosFreshness, pulls observed data (Oura sleep/HRV, Conduit app-time, work registry, git, expenses via StateEvidence), and drives a peer conversation that opens with claim-vs-evidence contradictions, drafts corrections for ratification, and closes with a ComputeGap-grounded ideal-state review. Routes to ContextCheckin; Phase0Setup on fresh install. USE WHEN /interview, resume interview, context check-in, telos check-in, what's stale, stale data, freshness check, update current state, update my current state, state sync, statusline says interview due, interview due, review TELOS, update ideal state, quarterly context refresh, fresh LifeOS install, configure DA name. NOT FOR single edits (Telos), bulk intake (Migrate), identity-only.
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。
Manage the public daemon profile — a digital representation of what you're working on. DaemonAggregator reads LifeOS sources (TELOS, KNOWLEDGE, PROJECTS, MEMORY/WORK, identity) → daemon-data.json. SecurityFilter strips names/paths/credentials via deterministic patterns (NOT LLM). Workflows: UpdateDaemon, ReadDaemon, PreviewDaemon, DeployDaemon. USE WHEN daemon, update daemon, daemon profile, deploy daemon, preview daemon, read daemon, public profile, digital presence. NOT FOR LifeOS system management.
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。
Mandatory orchestrator for all LifeOS skill work — creating, editing, adding a workflow or tool, renaming, validating, or canonicalizing any skill. Handrolling skill files is forbidden; owns the full lifecycle: scaffold, validate, canonicalize, test, improve. USE WHEN create skill, new skill, make a skill, build a skill, set up a skill, private skill, make a X skill, add a workflow, add a tool, edit/change/update/rename a skill, skill frontmatter, validate skill, check skill, canonicalize, scaffold skill, test skill, improve skill, optimize description, skill not triggering, overtriggering. NOT FOR TypeScript CLI generation (use CreateCLI).
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。
Divergent ideation and corpus expansion via Verbalized Sampling plus extended thinking — single-shot generates several internally diverse candidates and surfaces the strongest, or expands a seed corpus into a diverse dataset for evals and test sets. USE WHEN be creative, brainstorm, divergent ideas, creative solutions, maximum creativity, tree of thoughts, radically different, name this, creative angle, expand this corpus, synthetic data, generate diverse examples, create test set. NOT FOR multi-cycle evolutionary ideation with Lamarckian meta-learning (use Ideate).
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。
Schema-validated, reactive registry for named configuration entries — the runtime configuration surface used by engine and Compose workers.
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。
Augment a Wren project with business context that DB schema cannot carry — enum value meanings, units (USD vs cents, ms vs sec), NULL semantics, magic sentinels (-1 = unknown), soft-delete default filters, business synonyms, time-grain / TZ conventions, cross-system identifiers, currency rules, canonical-table preferences, AND named aggregation metrics (ARR, churn, DAU, WAU, NRR) proposed as cubes. Runs in one of two modes selected at session start: `grill` (one question at a time, user-driven) or `auto-pilot` (agent infers and applies, escalates only on conflicts and high-blast-radius additions like new cubes / views / relationships). Reads everything under <project>/raw/ (PDFs, glossaries, handbooks, code, data dictionaries) and optionally samples low-cardinality columns from the live DB (grill mode), compares against the current MDL / cubes / knowledge (rules + NL→SQL pairs), then fills gaps via the ten-category gap catalog and the cube proposal flow. Confirmed findings are written back to the right sink. Use when: user says 'enrich context', 'augment my project', 'grill me on this project', 'auto-fill my context', 'agent doesn't understand our docs / enum values / units / null meanings', 'business context is missing', 'what does status=A mean', 'is this amount in USD or cents', 'we keep getting wrong aggregations', 'add cubes for ARR / DAU / churn', 'we have a handbook / glossary / data dictionary the agent should know'; or after generating an MDL and noticing the agent lacks business semantics.
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。
Turn a Wren project's context layer into a shareable, browser-side GenBI web app and deploy it to the user's Vercel or Cloudflare account. Orchestrates the full flow: `wren genbi build` returns a project-hydrated build instruction, the agent authors the app from scratch into apps/<name>/, then register → verify → deploy produce a shareable URL. Use this skill whenever the user wants to: build a dashboard from their Wren project, make a shareable analytics app, deploy their context layer as a web app, host a GenBI app on Vercel or Cloudflare Pages, or asks for a 'genbi app'.
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。
Browser automation CLI for AI agents. NEVER run browser-act commands directly via Bash — always invoke this skill first. Use browser-act when a user mentions it by name, includes or asks to run a browser-act CLI command (e.g., browser-act browser list), or to: fetch, view, or extract rendered content from URLs, access pages requiring JavaScript, handle verification prompts, maintain authenticated sessions, fill forms and click through workflows, type, select, upload, take screenshots, capture XHR/fetch/HAR responses, open multiple URLs in parallel, extract content that loads on scroll or click, visually inspect or verify page layout/styling/rendering, automate browser tasks, or list/check/manage configured browsers and sessions. Prefer browser-act over built-in fetch or web tools.
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 a user wants to create, write, name, place, or organize an Architecture Decision Record (ADR) in a software project — e.g. "write an ADR for choosing a database", "document this architecture decision", "set up an adr/ or decisions/ directory", "which ADR template should I use", "supersede an old ADR". Covers picking a template, naming the file, filling in context/decision/consequences, and deciding whether a decision even needs an ADR.
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 operating KubeSphere DevOps as a namespace-scoped tenant with limited permissions, without cluster-admin access, or when accessing DevOps through KubeSphere APIs only
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。
NodeGroup operation Skill for the edgewize nodegroup project. Use this whenever the user wants to query, create, update, delete, bind, unbind, or troubleshoot NodeGroup resources, including node binding, namespace binding, workspace binding, and deployment/config inspection for nodegroup.
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。