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Run the adr-archaeologist reducer subagent over the per-node enrichment sidecars + concepts.yaml + existing adrs/. Applies the 3-question wisdom test (per Nygard 2011 / adr.github.io / AWS Prescriptive Guidance) to distinguish DELIBERATE architectural decisions from IMPLEMENTATION GAPS. Emits TWO artefacts: `lineage/{repo}/implicit-adrs.md` (real ADR candidates only — backbone decisions, classifie

This skill is used for session handoff or to provide a structured end-of-session summary before clearing context. It generates a chat-only handoff detailing decisions, changes, key files, running state, verification steps, deferrals, and open questions for seamless agent continuation.

Bypass website blocks and scrape web content using Scrapeless Universal Scraping API.

Generates visual assets like icons, illustrations, logos, and animations by routing each request to the best AI provider with a tuned prompt. Use when the user asks for any graphic, image, icon, SVG, logo, background, illustration, pattern, avatar, animation, or video.

A persistent memory layer for Council Room that reads, writes, and searches agent memory across sessions. It's used for saving important decisions, recalling past sessions, updating notes, searching for context, and injecting memory into agent prompts to ensure agents retain crucial information.

Automatically generates a structured project knowledge base (CONTEXT.md) from codebase analysis, creating a living map of architecture, conventions, decisions, and dependencies. It has zero dependencies, uses pure markdown, and is inspired by mattpocock's shared language and jcode's semantic memory, but automated and structured.

Audits an unfamiliar codebase, mapping its architecture, user-facing features, maturity, and risks. This skill is used to inspect repositories, summarize the tech stack, explain structure, list implemented features, assess maturity, or prepare a coding brief from an existing project.

Give your AI agent a soul, defining personality, values, taste, and growth in pure markdown. Create soul-driven agents with zero dependencies.

Analyzes subscription funnels, onboarding, paywalls, pricing, package strategy, trials, churn, and renewal signals to identify improvements and help implement fixes for any subscription product.

Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Supports a detection-only mode that flags patterns without rewriting.

Dynamic context management for AI agents. Invoke /protext at session.

Use this skill when setting up or configuring code quality tools (formatters, linters, type checkers, dependency scanners) for a repository, or when adding visual accessibility automation or security baseline scanning. Do not use it for general coding or when tools are already configured.