「job」の検索結果

Author and submit a Narrative workflow from a natural-language intent. Picks the closest example from `assets/examples/`, adapts it to the user's case, walks the YAML against the spec, resolves the data plane, and submits via `narrative_workflows_create` only after the user has approved the rendered spec. Use when: "create a workflow that does X", "schedule a daily refresh of dataset Y", "wrap this NQL as a workflow", "build a pipeline that creates view A then refreshes view B", "submit this workflow YAML", "productionize this query as a recurring job". (narrative-common)

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Create Beamer-style academic PPTX presentations using python-pptx. Produces publication-quality .pptx files with navy-blue Metropolis theme (16:9, frame title bars, progress bar) for conference talks, job market presentations, and seminar slides. Called by /present command.

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Plant, spiegelt, verifiziert, stellt wieder her oder archiviert Dateien explizit über den fail-closed mac-backup-Kern. Für die eigenen hostübergreifenden Backup-Jobs des Nutzers verwenden; nicht für allgemeine Cloud-Synchronisation oder beiläufiges Dateikopieren.

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Baut aus einem Chatverlauf oder aus bestehenden Automatisierungs-Prompts (z. B. eines anderen Agenten-Systems) eine selbstlaufende, user-neutrale Workflow-Automatisierung: einen wiederkehrenden Prompt bzw. Automations-Skill für Cron/Schedule/Loop. Alias: automations-extractor. Nutze diesen Skill bei „mach daraus eine Automatisierung", „das soll regelmäßig/nächtlich laufen", „extrahiere Workflows aus diesen Chatverläufen/Automationen", „Automation aus dieser Session bauen", oder bei `/workflow-extract`. Ergänzt fehlende Automations-Bausteine (Rotations-Auswahl, Check-Registry, Idempotenz, Log-Hygiene, Freigabe-Gate, Eskalations-Handoff, Monitor-Meldedisziplin) systematisch. Enthält auch den Fleet-Audit-Modus: bestehende Automations-Flotten auf Silent-Failures, Redundanz, Drift und Lücken prüfen („prüfe meine Automatisierungen/Scheduled Tasks/Cron-Jobs"). Soll stattdessen ein abrufbarer Skill (Fähigkeit auf Zuruf) entstehen, den Schwester-Skill skill-extractor nutzen.

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Builds DRAFT user personas from the research notes, interview summaries, survey free text and support themes the user provides: for each persona the goals, pains, jobs to be done, context of use, quotes exactly as supplied with their participant codes, and the evidence count behind every attribute, with names, demographics and any detail no participant stated left UNKNOWN rather than invented. Use when the user asks to "build personas from these interviews", "who are our users based on this research", "draft user personas", "turn these research notes into personas" or "update our personas with the new interviews". Do not use for theming a batch of customer feedback into counts, use customer-feedback-theme-synthesis instead; for exit interviews, use exit-interview-synthesis; for the requirements those personas imply, use product-requirements-draft. Drafts for human review; never approves, authorises or signs off.

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Builds and maintains a DRAFT impact log from notes, messages, status updates and completed work: one row per outcome with its evidence and evidence level, date, who benefited and the source it traces to, plus a gap list of outcomes that still lack evidence, structured so a later review, appraisal or promotion case can draw on it. Use when the user asks to "start an impact log", "add this to my impact log", "log what I achieved this quarter", "pull my wins out of these notes", "turn these messages into evidence for my review" or "what do I have evidence for so far". Do not use for a performance rating, ranking, pay or promotion decision, the skill records evidence and never judges it; for the review narrative itself, use performance-review-drafter; for a role profile built from the work, use job-description-drafter instead. Drafts for human review; never approves, authorises or signs off.

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Put a nightly watcher on any Telegram channel or chat in one command: register the channel and a single nightly job doing an incremental zero-token fetch plus the shared detector, producing a private shortlist report. Triggers: "/watch-channel <@channel|id>", "watch this channel", "monitor <channel> nightly".

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Operating manual for Telegram over its MCP connector and roughly 115 tools: how to find a chat by title, the tool inventory grouped by job, resolving chat ids, auto-transcribing voice notes, and the connector gotchas (pinned-first ordering, big-page crashes, reload after reconnect, untrusted fields, always passing an explicit account). Load before any non-trivial Telegram work.

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Pull fresh messages from a set of health-related Telegram chats (medicine, supplements, longevity, fasting) into an Obsidian vault. Incremental and idempotent by message id, and the manual counterpart of the weekly job. Triggers: "/health-sync", "pull the health chats".

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Pull fresh follow-up call notes from a dedicated Telegram group into the CRM layer of a vault. Incremental and idempotent by message id, safe to re-run, and the manual counterpart of the weekly scheduled job. Triggers: "/faaa-sync", "pull the follow-up notes".

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Eat the elephant one bite at a time: turn a large list-shaped job into a finite routine that chews a small batch every night, detects when it is done, switches itself off and reports. Triggers: /elephant, eat the elephant, split into bites, make it a routine, ten a day, backfill everything.

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Pull fresh ChatGPT conversations into an Obsidian vault on demand, the manual twin of the nightly job. Incremental and idempotent by conversation id: never clobbers enriched notes, never duplicates. Triggers: "/chatgpt-sync", "pull chatgpt", "sync chatgpt chats".

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 and restore the Claude Desktop app when it will not start, crashes, or runs with no visible window. Use for Windows MSIX launch failures, 'Not main instance', stale AppX job containers, NeedsRemediation or 0x80070020 errors. Separates Desktop from the CLI, reads fresh logs, picks a narrow fix and proves a visible working window. Triggers: /claude-repair, Claude Desktop won't open, Claude app crashed.

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Operational guide for WordPress.org submission readiness of NV oOS standalone plugins (nvoos-docs-hub live at 0.5.3; nvoos-content-graph live at 1.0.10 in the re-submission loop; nvoos-design-system next in the pipeline — issue #6811). Covers the 18 wp.org guidelines, the Plugin Check (PCP) gate in CI and Docker, PCP finding triage, the reviewer-reply loop (findings taxonomy from the real 0.4.3 review, related-issue sweep checklist, reply-email template), packaging exclusion tri-sync, readme.txt standards, .wordpress-org listing assets, and the NV oOS Complete checkout-flow disclosure discipline (docs-hub 0.5.3, content-graph). Use when preparing a wp.org submission, responding to a reviewer email, fixing the plugin-check CI job, triaging PCP findings, or capturing listing screenshots.

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Designs and reviews scheduled/background work in WordPress plugins: wp_schedule_event, wp_schedule_single_event, cron_schedules, wp_next_scheduled guards, activation scheduling, deactivation cleanup, WP-Cron pseudo-cron timing, DISABLE_WP_CRON/system cron, multisite per-blog cron, idempotent callbacks, chunking, and Action Scheduler graduation. Use when adding scheduled jobs, debugging late/duplicate cron events, or deciding between WP cron and Action Scheduler.

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Manage NV oOS Pro Schedules — create, update, delete, list, dry-run, view run history, and plan schedules from workflows. Covers all 7 Pro Schedule Manager MCP tools with usage patterns, cross-references, and operational troubleshooting. Use when creating recurring tasks, debugging schedule failures, pausing vs deleting schedules, converting Action Scheduler jobs to managed schedules, or bridging workflow outputs to timed execution.

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Perform quick web searches, local business lookups, and URL content extraction. Covers web_search for general queries, brave_local_search for location-based discovery, and run_crawl4ai_job for deep page crawling. Use when fact-checking, trend spotting, doing competitor analysis, looking up local businesses, extracting page content, or performing content research that doesn't need multi-step deep 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。

End-to-end media pipeline automation — from AI generation through optimization to social publishing. Covers workflow design, WordPress integration, Redis job queuing, batch processing, multi-site pipelines, and orchestration. MCP bridge tools are the primary interface for individual operations; the Design Stack media worker handles batch and advanced processing. Use when you need to automate image generation→optimization→publishing chains, set up cross-site media sync, design batch processing pipelines, or orchestrate multi-step media workflows triggered by post publish or cron.

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Automate recruiting and hiring workflows in Ashby -- manage candidates, jobs, applications, interviews, and notes through natural language commands.

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Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

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Build or update the shared product-marketing context: product, audience, positioning, competitors, jobs-to-be-done, objections, customer language, proof and goals. Use before downstream execution when context is missing.

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Plan, analyze and synthesize customer research into pains, jobs, triggers, objections, language, segments and evidence-backed marketing implications.

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Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why.

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Control risky structural change by proving a refactor is necessary and that behaviour, contracts, data, security boundaries, and operational properties can be preserved through a staged migration. Use whenever the user wants to refactor, restructure, clean up, modernise, extract, migrate, rewrite, or re-architect existing code, or asks whether they should. Prefer this over starting the refactor. DO NOT REFACTOR is a first-class outcome. Part of the audit suite; inherits the shared constitution while its own job is proving necessity and behavioural preservation.

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。