Productivity

Design motivation systems for products and teams using Autonomy, Mastery, and Purpose (AMP) to drive intrinsic engagement.

Build a scalable outbound B2B sales machine with specialized SDR, AE, and CSM roles, using Cold Calling 2.0, referral emails, ANUM qualification, and pipeline math to generate predictable revenue.

Manage teams using Andy Grove's principles: production thinking for knowledge work, output indicators, managerial leverage, effective meetings, clean decisions, OKRs, and task-relevant maturity.

Manage issues, projects, and team workflows in Linear with structured workflows for sprint planning, bug triage, and release management.

Creates a concise, actionable plan for coding tasks by scanning context and producing a structured checklist.

Build, validate, and troubleshoot deep links for Codex, Cursor, VS Code, Visual Studio, and similar tools. Use when users ask for clickable links (especially in Slack) that open threads, files, folders, or app settings.

Draft, rewrite, or condense emails with target tone, length, and audience; use for cold outreach, replies, status updates, or escalations where clarity and brevity matter.

Classify customer support tickets, emails, or chats by category and priority, draft responses, and document next steps.

Capture conversations and decisions into structured Notion pages for easy reuse as wiki entries, how-tos, decisions, or FAQs with proper linking.

Process meeting transcripts or rough notes into structured summaries with decisions, risks, and owner-tagged action items.

Prepare meeting materials by pulling context from Notion, tailoring agendas and pre-reads, and enriching with research.

Convert Notion specs into implementation plans, tasks, and progress tracking with linked Notion pages.

Creates a new recurring workstream (loop) in a file-based knowledge base: scaffolds the domain folder, runs a real test cycle, and records the result in the timeline and log.

Sets up a codebase for reliable agent-driven development by making it legible (structured docs, custom lints, code graph), executable (one-command dev stack, cloud sandbox), and verifiable (e2e gate, verify-before-ship loop).

Integrates with Atlassian products to manage project tracking and documentation via MCP protocol. Use for querying Jira issues with JQL filters, creating and updating tickets, searching Confluence pages, managing sprints, and setting up MCP server authentication.

Generate high-quality speech from text using ElevenLabs' premium voices, with support for 32 languages, multiple models, and voice tuning parameters.

Write high-engagement Twitter/X threads with hook tweets, structured content, media attachments, and posting strategies.

Provides a canonical facilitation protocol for interactive skills: one step at a time with progress tracking, adaptive recommendations, and interruption handling.

Look up SaaS finance metrics, formulas, and benchmarks fast. Use when you need a quick metric definition, formula, or benchmark during analysis.

Turn rough notes, workshop content, or prompt dumps into compliant, publish-ready SKILL.md files that pass validation and integrate with repo documentation.

Guides Directors and senior product leaders through the transition to VP or CPO with adaptive coaching across preparing, interviewing, landing, and recalibrating.

Diagnose whether an AI workflow suffers from context stuffing or benefits from context engineering, and apply structured techniques to improve reliability.

Provides a structured template for creating new Agent Skills, including sections for description, activation criteria, core concepts, practical guidance, and integration notes.

Optimizes long-running agent sessions with structured context compression, summarization, and durable handoff summaries that preserve decisions, files, risks, and next actions.

Guides project-level decisions for LLM-powered systems: task-model fit, pipeline architecture, token and cost estimation, and agent-assisted iteration.

Extends effective context capacity through strategic compression, masking, caching, and partitioning techniques.

Debug and optimize AI agents by analyzing reasoning traces, context degradation, tool confusion, instruction drift, repeated task failures, and performance regressions.

Records daily activities, progress, decisions, and learnings in structured chronological markdown files.

Capture and organize general facts about the user by topic, such as preferences, background, and goals, to personalize interactions.

Drafts, sends, and preserves email correspondence for existing ClawHub content rights cases using authenticated admin CLI commands.

Designs efficient design team workflows covering task management, collaboration rituals, communication norms, tooling, and design-development collaboration.

Identify, categorize, and prioritize accumulated design inconsistencies and structural problems across a product.

Create systematic QA checklists to verify that design implementations match specifications across visual accuracy, layout, interaction, content, accessibility, and cross-platform categories.

Design forms that minimize friction, prevent errors, and guide users to successful completion.

Apply the Doherty Threshold to keep system response times under 400ms, maintaining user flow and perceived performance.

Screen post-earnings gap-up stocks for Post-Earnings Announcement Drift patterns using weekly candle analysis to detect red candle pullbacks and breakout signals.