Results for “domain”

Knowledge-base steward in the spirit of Niklas Luhmann's Zettelkasten. Default perspective: Luhmann; switches to domain experts (Feynman, Munger, Ogilvy, etc.) by task. Enforces atomic notes, connectivity, and validation loops. Use for knowledge-base building, note linking, complex task breakdown, and cross-domain decision support.

Identifies recurring patterns across three or more domains to extract universal principles and apply them to new problems.

Routes ambiguous or multi-domain engineering requests to the smallest ordered skill set. Do not use for clear single-skill work or same-task follow-ups.

Sends and reads email for your own domain through a local mail server using fixed scripts, and creates new mail accounts.

Merges mature lessons from a domain memory file into its instruction file, preserving knowledge with minimal redundancy.

Provides civil infrastructure and construction domain knowledge, covering materials, project phases, building systems, contracts, site development, and regulatory requirements.

Implement chat-based user interface with selectable options, progressive disclosure, and workflow guidance for discipline-specific operations including procurement, civil engineering, and other domain workflows

Generate, send, validate, and export AI-powered emails from the terminal; manage contacts, segments, tags, domains, and webhooks with Migma CLI.

Coordinates sprint planning, delivery tracking, experiment management, knowledge management, and changelog governance across project management workflows.

Orchestrates growth marketing campaigns across channels, applying behavioral science frameworks to drive acquisition, retention, and conversion.

Design normalized database schemas with tables, relationships, indexes, and constraints for any application domain. Use when the user requests database schema design or provides relevant inputs for this workflow.

Turns any long-running domain (business, relationships, health, career, learning, investing) into a local knowledge project with four layers, source tags, immutable snapshots, and a concept library that learns patterns over time.

Generates, sends, validates, and exports AI-powered emails from the terminal, with contact, segment, tag, domain, and webhook management via the Migma CLI.

Routes Salesforce, Force.com, and Lightning Platform questions to the correct skill package from a library of over 1,000 domain-specific skills, covering Apex, SOQL, Flow, LWC, and more.

Extract public Trustpilot company profile data from a company domain, including TrustScore, star rating, review counts, verification flags, category, contact info, and optional reply behavior metrics.

Build and maintain a custom project skill repertoire. Always use at new project bootstrap and when users ask for new domain capabilities. Detect active assistant folders first, recommend at least 5 skills per search batch, confirm installs, normalize install paths, and regenerate workflow files.

One-time setup that makes fb.ai cold email actually sendable — add a sending domain, get the DNS records published, verify, add a sender signature, and get it confirmed. Has two unavoidable human waits (DNS, Postmark email); the skill stops and hands back at each. Run once per brand, then re-run to resume.

Breaks natural-language problem descriptions into sub-tasks suitable for DAG nodes. The entry point of the meta-DAG. Identifies phases, dependencies, parallelization opportunities, and vague/pluripotent nodes that can't yet be specified. Uses domain meta-skills when available. Activate on "decompose task", "break down problem", "plan workflow", "what are the steps", "sub-tasks", "task breakdown". NOT for executing the decomposed tasks (use dag-runtime), building the DAG structure (use dag-planner), or matching skills to nodes (use dag-skills-matcher).

Score, evaluate, and iteratively improve any content or strategy using an auto-assembled panel of domain experts. Handles copy, sequences, landing pages, strategy docs, titles, charts, recruiting evaluations, or anything else that needs a quality gate. Recursively iterates until all scores hit 90+ (max 3 rounds). Use when asked to: "expert panel this", "score this", "rate these variants", "quality check this", "panel review", "which version is better", "expert score", "evaluate this copy/strategy/page", or when another skill needs a quality gate on its output. Also triggers on: "score this landing page", "expert panel these email variants", "rate this headline", "panel these charts".