The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.
Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zby/commonplace
Maintenance
fresh
Pushed today
Risk
Safe to try
Quality score needs review
GitHub quality
81
76/100 quality · 81/100 trust
Coverage tags
Review notes
Quality score needs review · GitHub adoption: 81 GitHub stars
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
81 GitHub stars
Repo activity
81 stars, 10 forks
Maintenance
Pushed today
License
CC-BY-4.0
Install
npx skills add zby/commonplace
Install safety
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Do not use when
Alternative
53.0K stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K stars
npx skills add assafelovic/gpt-researcher
Alternative
19.1K stars
npx skills add dzhng/deep-research
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Install targets
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add zby/commonplaceAgent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20Commonplace%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Commonplace%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zby-commonplace/install
Agent should check
Copy prompt
Task: Use Commonplace in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Commonplace%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zby-commonplace/install
Install command: npx skills add zby/commonplace
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zby-commonplace/install
LLM text format
/api/skills/zby-commonplace/install?format=text
Find alternatives
/api/skills/search?q=Commonplace&limit=3
Agent prompt
Use Commonplace for this task. Review https://www.openagentskill.com/api/skills/zby-commonplace/install, then install with: npx skills add zby/commonplaceRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/zby-commonplace
LLM text
/api/registry/manifest/zby-commonplace?format=text
Install alias
/api/registry/install/zby-commonplace
Recommend
/api/registry/recommend?task=Use%20Commonplace%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Python, Claude Code, OpenAI Agents
Audit report
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Coding agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
Review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK81 GitHub stars
Stars/forks activity
CHECK81 stars, 10 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSCC-BY-4.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Publish consistently
I need my agent to turn research and product updates into useful content drafts.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills in this category, ranked with the same readiness and quality signals.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
# Commonplace
**Research on knowledge systems, running as one.**
Commonplace is a growing body of research on how to build the most powerful agentic systems. The bet is simple: an LLM can consume a theory and act on it, and can even write the code that theory calls for — so an _actionable_ theory of how to build such systems is itself a way of building them. Commonplace aims to be that theory: one closed under its own recommendations, telling an agent when to reason from prose, when to freeze knowledge into durable code, and how to verify what it produces.
The theory's most immediate target is an **LLM wiki** in the sense [Karpathy sketched](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f): a persistent, linked markdown layer that agents build and maintain around your own work, turning ephemeral chats into a durable, growing body of your thinking. This repository ships everything needed to run one — the type system, writing conventions, agent skills, and `commonplace-*` Python commands.
It is also the first deployment. The research lives here as notes, and LLM agents follow the methodology those notes lay out to maintain the wiki it lives in. The content is AI-generated throughout — a human directs the inquiry; agents (Claude, ChatGPT, and others) draft, connect, and maintain the notes.
This page covers the tool: what's in the repo, how to use it, and how to install it. The research is best read on the rendered site at <https://zby.github.io/commonplace/>.
## What's in the box
``` kb/ Knowledge base types/ Global types (text, note, instruction, definition, index) notes/ Notes — the primary knowledge unit (theoretical register) reference/ Shipped-system docs and ADRs (descriptive register) instructions/ Framework skills, review gates, and operator procedures (prescriptive register) agent-memory-systems/ Reviews of external agent-memory and knowledge sys
Frameworks & Tools
Decision snapshot
recent repository activity
Audit snapshot
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the audit before production use.
Growth loop
Scenario-led draft for Commonplace, ready for a manual X post.
Most coding agents don't fail from lack of model power. They fail when repo context disappears. Commonplace gives coding agents a repeatable way to plan, patch, review, or ship. 81 stars https://www.openagentskill.com/skills/zby-commonplace?ref=x #AIAgents
Listing + install path for Commonplace: https://www.openagentskill.com/skills/zby-commonplace?ref=x Install: npx skills add zby/commonplace
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This community indexed listing is attributed to zby but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/zby-commonplace)
[](https://www.openagentskill.com/skills/zby-commonplace)
[](https://www.openagentskill.com/skills/zby-commonplace/audit)
[](https://www.openagentskill.com/skills/zby-commonplace)zby
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Sandbox only
Last30days Skill
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