AI Agent Workflow Collection

Select and implement the right agentic architecture pattern for a task. Use when designing a multi-step AI workflow, choosing between chaining/routing/parallelization/orchestrator-workers/evaluator-optimizer, or when the user asks how to structure an agent system. Do NOT use for single LLM calls or prompt writing (use prompt-craft).

Reads Syroco's Granola meeting transcripts and emits events to the context-engineering brain via wiki.add MCP. Ingests customer calls, prospect calls, partner syncs, and internal meetings; assigns entityhint based on Syroco's known company list; segregates by scope (customers / prospects / partners / internal-product / internal-eng / competitors).

Reads Syroco's HubSpot CRM (companies, deals, contacts, activities) and emits events to the context-engineering brain via wiki.add MCP. Different shape from granola/slack scribes: consumes property diffs + activity logs, not chunked transcripts. Maps HubSpot company.domain to brain entityhint; scope derived from HubSpot lifecycle stage.

Periodic knowledge consolidation for AI coding agents. Synthesize scattered project learnings into durable, well-organized memory files. 4-phase process: Orient → Gather → Consolidate → Prune. Inspired by Claude Code's autoDream engine. Use when project memory is stale, after a burst of work, or as a recurring maintenance pass.

Generate concise, actionable status briefs from project state and recent activity. Delta-based reports: what changed, what needs attention, what to do next. Inspired by Claude Code's KAIROS Brief Mode. Works as a manual prompt, a slash command, or a cron job.

Shrink an embedding/RAG vector store 4–32× via int8 or binary quantization with a float rescore pass, preserving recall and provenance metadata. Use when a vector store is too large to be laptop-resident, query cost/latency is too high, or embeddings need to be quantized for FAISS/Qdrant/usearch. Do NOT use for embed-time ingestion failures (e.g. a provider 'too many tokens' 400 — that is an upstream chunking bug, not a storage-size problem) and do NOT enable the dark TurboQuant 4-bit path without the gate below.

Create and refine high-quality Agent Skills (SKILL.md + bundled resources). Use when the user wants to create a new skill, improve an existing one, or turn a workflow into a reusable skill package. Covers structure, progressive disclosure, conciseness, feedback loops, and the quality checklist. Do NOT use for skill validation (use skill-check) or for prompt engineering (use prompt-craft).

Reads Syroco's Slack project channels (project-) and emits events to the context-engineering brain via wiki.add MCP. Scope-aware: each channel is mapped to a known client and lands in the right scope (customer-expansion / new-biz / partners). Filters operational chatter; keeps meeting recaps, alerts, blockers, competitive intel, fleet changes, and product feedback.

First enricher skill for Syroco's company brain. Subscribes to events from granola-scribe, slack-scribe, hubspot-scribe (and any future customer-touching scribe). For events whose entity is a customer with active voyages, looks up the voyage context at the event's timestamp: voyageid, vessel, route, voyagephase, dealstateattime, speakerrole. Emits enriched events into a parallel enrichment log; consumer skills read both and join.