Claude Code plugin marketplace - productivity and learning plugins
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A collection of Claude Code plugins for productivity, learning, and software-development
workflows.
Nine plugins, grouped by focus. Current versions live in
.claude-plugin/marketplace.json and each plugin's
plugin.json (the source of truth) — they are intentionally not duplicated here so this
list can't drift.檢視完整 README ↗A collection of Claude Code plugins for productivity, learning, and software-development workflows.
# Add this marketplace
/plugin marketplace add joshuaoliphant/claude-plugins
# Install any plugin
/plugin install <plugin-name>@oliphant-plugins
Eight plugins, grouped by focus. Current versions live in
.claude-plugin/marketplace.json and each plugin's
plugin.json (the source of truth) — they are intentionally not duplicated here so this
list can't drift.
Create evidence-based spaced-repetition flashcards using cognitive-science principles (Andy Matuschak's five properties of effective prompts). Quality validation, knowledge-type workflows (factual, conceptual, procedural, salience), anti-pattern detection, and deck/card management via the Mochi API.
Requires: a Mochi account + MOCHI_API_KEY.
/plugin install mochi-creator@oliphant-plugins
export MOCHI_API_KEY="your_api_key_here"
Institutional memory across sessions and projects: capture solved problems, retrieve past solutions before you start, and graduate recurring lessons into living context (CLAUDE.md / AGENTS.md). Structured YAML-frontmatter files for fast grep-based retrieval.
Skills: compound-capture, compound-retrieve, compound-graduate.
Process information for real understanding — an antidote to the illusion of clarity. The
explain-back skill makes you explain from memory, grades you against the real source,
teaches struggle-then-teach per gap, and outputs Mochi cards plus a resumable session
record.
Turn a Claude project or a folder into a learning harness for one subject, adapted from learnharness. Lesson sessions probe your edge, plan a minimal path, 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 rubric committed before you start. See plugins/learn-harness.
One software-engineering workflow made from Matt Pocock's skills, superpowers, pstack, Imbue's
blueprint, and the retired autonomous-sdlc and stick-shift plugins: specs with Given/When/Then
acceptance criteria, tracer-bullet issues in your tracker, builds that fit tests into the existing
suite, and review by subagents on every change. It also carries what used to be the review-diff
plugin (comment on a diff in your browser) and jev-lint (semantic lint for Python).
compost:setup configures a repo and offers to switch off the collections compost replaces.
See plugins/compost.
Build web apps where an AI agent dynamically generates the HTML UI, using hexagonal / ports-and-adapters architecture with HTMX for interactivity and MCP tools for data operations.
Stack: Claude Agent SDK + FastAPI + HTMX + Tailwind CSS. Requires: ANTHROPIC_API_KEY.
/plugin install hexagonal-agents@oliphant-plugins
export ANTHROPIC_API_KEY="your_key_here"
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.sh --json detection
contract, scripted end-to-end verify.sh).
One headless Claude per component, watching its telemetry on a local launchd schedule through the read-only MCP servers you already have (Splunk, Prometheus, Kubernetes, ...). Page-worthy findings raise a clickable macOS notification that opens a triage session; every verdict (real, noise, known) feeds a ledger that teaches the superfan what normal looks like. See plugins/superfan.
Each plugin owns its version in plugins/{name}/.claude-plugin/plugin.json; that version is
copied into .claude-plugin/marketplace.json at publication time. Run
python scripts/check_marketplace_versions.py to confirm they match. See
AGENTS.md for full development and versioning guidance.
Contributions are welcome — feel free to submit issues or pull requests.
MIT