Pensieve marketplace (zh branch) for installing the plugin from GitHub with a pinned ref
npx claudepluginhub michaeklishin/pensievePensieve — humans store experience, AI reads the truth
[!TIP]
Don't want to read docs? After installation, tell Claude:
use loop to finish this task.
That methodology is still here and now delivered as an executable system:
skills / hooks / task / agent)review pipeline + knowledgeYou get a full engineering package: prompting, workflow, and execution mechanics together.
review pipeline enforces a consistent standard/loop splits, runs, and auto-continues tasks.claude/pensieve/loopQuick path (automation-first):
Share this README link or full text with your model and give this instruction:
Complete Pensieve installation and initialization based on this README, then report the result.
The model can execute installation, initialization, and verification steps automatically.
The system defaults prioritize root-cause repair, branch simplification, complexity control, and quality thresholds.
Each phase loads only what it needs: maxims for execution, review pipeline/knowledge for auditing, upgrade tool for migration.
This design gives two direct benefits:
/loop: split complex work and execute in auto-loop mode/pipeline: list and invoke project pipelines/selfimprove: turn lessons into system-level improvements/upgrade: migrate and validate legacy structure to current standardMaxim: should pass all checks. Still valid across projects? across languages? across domains? useful for future unknown problems?
Decision: keep it if any one of these is true. Would deleting it cause repeat mistakes? Would it help make a better choice in 3 months? Could you teach it as a reusable pattern?
Pipeline: any task shape that appears repeatedly. Make it runnable first, then refine.
Temporary decisions in Loop -> filtered -> Decision
Repeated similar Decisions -> distilled -> Maxim
External knowledge + project practice -> Decision
Decisions guide -> Pipeline improvement
Like memory revealing truth, what you store helps Claude understand your intent.
MIT
RuFlo Marketplace: Claude Code native agents, swarms, workers, and MCP tools for continuous software engineering
Claude Code marketplace entries for the plugin-safe Antigravity Awesome Skills library and its compatible editorial bundles.
Production-ready workflow orchestration with 84 marketplace plugins, 192 local specialized agents, and 156 local skills - optimized for granular installation and minimal token usage