Process information for real understanding with the explain-back skill: explain from memory, grade against the real source, struggle-then-teach per gap, output Mochi cards and a resumable session record. An antidote to the illusion of clarity.
Plugin understand from marketplace oliphant-plugins in JoshuaOliphant/claude-plugins. Commands read from the repo's manifest — today.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
explain-backProcess information for real understanding and expose the illusion of clarity. Use when the user says "help me actually understand this", "test my understanding", "process what I learned", "quiz me on this", "am I fooling myself about X", "explain-back", "make sure I get this before I blog it", or a
mochi-donutruns: uvx --from git+https://github.com/JoshuaOliphant/mochi_donut mochi-donut
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 Python, a prune skill that keeps docs to what the code can't say, and a turn skill that works in upstream changes.
18 skills · 1 agent · hooks
Capture solved problems, retrieve past solutions, and graduate accumulated knowledge into living context. Skills: compound-capture, compound-retrieve, compound-graduate.
3 skills · 1 command · 1 agent
Turn a Claude project or a folder into a learning harness for one subject. Lesson sessions probe your edge, plan a minimal dependency tree, and teach one checked reasoning step at a time; Practice sessions train retrieval with a hint ladder; Field sessions grade an artifact you produce against a pre-committed rubric. A knowledge graph, an append-only ledger and a frontier record carry it across sessions. Adapted from learnharness.
2 skills
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 (observability-query skill, status --json contract, scripted end-to-end verify).
2 skills
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 ledger that teaches the superfan what normal looks like.
2 skills
Build web apps where an AI agent dynamically generates HTML UI using hexagonal architecture with HTMX
1 skill
Talk like caveman. Cut filler. Keep technical details explicit.
22 skills · 1 command · 3 agents · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
tasteskill 2.5.1: professional company websites at the figma.com and x.ai level, with one section per screen, real photographs, real product UI, effects kept for tech and gaming pages, and a real-browser checker and finish gate.
1 skill
AI-powered codebase understanding — analyze, visualize, and explain any project
9 skills · 10 agents · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
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