Capture solved problems, retrieve past solutions, and graduate accumulated knowledge into living context. Skills: compound-capture (post-solve documentation), compound-retrieve (pre-work knowledge search), compound-graduate (promote lessons into CLAUDE.md/AGENTS.md, garden the solutions corpus).
Build web applications where an AI agent dynamically generates HTML UI using hexagonal/ports-and-adapters architecture with HTMX for interactivity and MCP tools for data operations.
Create evidence-based spaced repetition flashcards using cognitive science principles from Andy Matuschak's research. Applies the 5 properties of effective prompts (focused, precise, consistent, tractable, effortful) to create cards that actually work for long-term retention.
Install a local, Docker-free OTLP observability stack (OpenTelemetry → Vector → JSONL, optionally VictoriaLogs + VictoriaMetrics) into a project and instrument the code, with a scan-and-propose step for domain-appropriate spans and metrics — then query that telemetry as a development feedback signal…
Process information for real understanding. The explain-back skill makes you explain from memory, grades against the real source, teaches only after you attempt, and outputs Mochi cards plus a resumable session record. An antidote to the illusion of clarity.
One software-engineering workflow composted from Matt Pocock's skills, superpowers, pstack, Imbue's blueprint, and autonomous-sdlc: specs with BDD acceptance criteria, tracer-bullet issues in your tracker, builds that fit tests into the existing suite, automatic subagent review, browser diff review, semantic lint for…
Superfans: one headless Claude per component, obsessively watching its telemetry through your read-only MCP servers (Splunk, Prometheus, Kubernetes, ...) on a local schedule. Findings land in a local inbox, page-worthy ones raise a clickable desktop notification that opens a triage session, and every verdict feeds a…
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