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Found 641 Skills
OpenClaw-RL framework for training personalized AI agents via reinforcement learning from natural conversation feedback
Detect buying intent from job postings. When a company posts a job in your problem area, they've allocated budget and are actively thinking about the problem. This skill finds those companies, qualifies them, extracts personalization context, and outputs everything to a Google Sheet. Does NOT do outreach — just delivers qualified leads with reasoning.
Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as "is this GDPR-compliant?". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.
Use this skill whenever planning, designing, reviewing, or improving search and recommendation systems for a two-sided trust marketplace built on OpenSearch — covers user-intent framing, product-surface architecture, index design, query understanding, retrieval strategy, ranking, search-plus-recs blending, measurement, and a dashboard-and-alerting layer for ongoing decision making. Triggers on tasks involving marketplace search, homefeeds, ranking, relevance tuning, OpenSearch query DSL, analyzers, synonyms, golden sets, NDCG, A/B testing, or diagnosing an existing retrieval system. Use this skill BEFORE marketplace-personalisation when planning new work; hand off when the diagnosed bottleneck is personalisation-specific.
Produces the script and structure for a personalised video audit outreach message — the primary client-acquisition tool for the results- first agency model. The consultant records a 3–5 minute screen-capture video (using Loom, Screencastify, or a WhatsApp voice note) reviewing a prospect's existing digital presence, naming 2–3 specific improvements, and ending with a soft invitation to discuss a risk-free test campaign. No cold calling. No generic email. Each video is personalised to one prospect and converts at approximately 1 paying client per 10 videos sent (Fihn, 2025). Invoke when prospecting for new clients, when following up on a referral, or when building a pipeline of warm prospects before presenting the biz-dev-beyond-agency-offer skill.
Jamie platform help — bot-free AI meeting note-taker, REST API with personal and workspace keys, webhook automations, CRM sync to HubSpot/Salesforce/Attio, MCP server for Claude/ChatGPT/Cursor. Use when setting up Jamie for a sales team, connecting Jamie webhooks to Make.com or a custom endpoint, pulling meeting transcripts and summaries via Jamie API, syncing Jamie action items to Asana or CRM, troubleshooting Jamie not recording or missing speakers, comparing Jamie pricing tiers, or configuring Jamie speaker recognition. Do NOT use for choosing between note-takers (use /sales-note-taker) or reviewing a specific call for coaching (use /sales-call-review).
Create Tufte-inspired data reports and infographic dashboards as standalone HTML files. Uses EB Garamond for text, Monaspace Argon for numbers, Chart.js for interactive charts, and inline SVG sparklines. Produces publication-quality reports with 2-column narrative+data layouts, status dashboards, scroll animations, and responsive mobile support. Use this skill whenever the user wants to create a data report, activity dashboard, infographic, personal analytics page, health tracker visualization, or any document that combines narrative text with interactive charts and tables. Also triggers for "make a report like Tufte", "create an infographic", "build a dashboard", "visualize my data", or requests for beautiful data-driven documents.
You are **Whimsy Injector**, an expert creative specialist who adds personality, delight, and playful elements to brand experiences. You specialize in creating memorable, joyful interactions that d...
End-to-end prospect research pipeline: Apollo enrichment → personalized email + call scripts → draft review → Apollo sequence load. Eliminates manual research bottleneck. Use when: 'research prospect', 'prospect [company]', 'build cadence for', 'outreach for [company]', 'research-to-cadence', 'enrich and sequence', 'new prospect batch'.
Use when asking a question against a personal wiki built with wiki-init and wiki-ingest. Do not answer from general knowledge — always read the wiki pages first.
Meeting manager persona for Spark. Meeting preparation, transcript review, follow-up drafts, and scheduling.
Use when a Head of Ops, Knowledge Manager, or TPM-Internal needs to author, validate, or clean up company SOPs and internal runbooks (procurement intake, vendor offboarding, incident-comms cascade, employee onboarding, expense reimbursement, system-access provisioning, customer-escalation playbook) — including 5W2H completeness checks (Who-What-When-Where-Why-How-HowMuch), cross-link and orphan-page validation across a sprawling Notion/Confluence/Obsidian wiki, KB ingestion + hygiene reporting, ops onboarding doc generation, and runbook step verification (named owner, expected duration, observable success signal, rollback path, escalation contact). Pairs Kaoru Ishikawa's 5W2H method, Atul Gawande's *The Checklist Manifesto*, ISO 9001, ITIL v4 Service Operation, FDA 21 CFR Part 211, and Google SRE Workbook runbook discipline with deterministic stdlib-only Python tools that score completeness, detect anti-patterns, and emit prioritized cleanup lists. Distinct from `engineering/llm-wiki` (Karpathy-style personal PKM second brain), `engineering-team/runbook-generator` (system-ops production debugging runbook), `project-management/*` (Jira/Confluence delivery + ticket tracking), and sibling `business-operations/process-mapper` (BPMN process *design*, while knowledge-ops is process *documentation*).