llm-wiki-setup

Co-creates a personal investment-research LLM Wiki (Karpathy pattern) by interviewing the user to extract their analysis framework into a structured markdown vault with wikilinks, no RAG or vector DB. Supports ingesting research reports, earnings calls, and expert notes into the wiki, plus post-earnings prediction-to-fulfillment reviews. Turns stock-picking, analyst-tracking, and earnings-watching workflows into a compounding knowledge base.

Claude Code Skills Marketplace

Professional Claude Code skills marketplace featuring production-ready skills for enhanced development workflows.

🌟 Essential Skill: skill-creator

⭐ Start here if you want to create your own skills!

The skill-creator is the meta-skill that enables you to build, validate, and package your own Claude Code skills. It's the most important tool in this marketplace because it empowers you to extend Claude Code with your own specialized workflows.

Why This skill-creator?

This is a production-hardened fork of Anthropic's official skill-creator, born from building real skills and hitting every wall the official version doesn't warn you about.

The official skill-creator tells you what to build. Ours also tells you what not to try — and why.

You're trying to...	Official	This Fork
Research before building	"Check available MCPs" (5 lines)	8-channel search protocol with decision matrix: Adopt / Extend / Build
Create a skill interactively	Prose-based instructions	9 structured AskUserQuestion checkpoints — user never loses context
Avoid common mistakes	No guidance	Cache edit warnings, prerequisite checks, security scan gate
Know the architecture options	Not mentioned	Inline vs Fork decision guide with examples (choosing wrong silently breaks your skill)
Validate before shipping	Basic YAML check	Expanded structural validator plus provenance-checked old-vs-new capability audit; packaging re-verifies the completed review instead of trusting a marker
Catch security issues	No tooling	`security_scan.py` with gitleaks integration — hard gate before packaging
Learn from real failures	No failure cases	Battle-tested methodology with documented failure patterns and gotchas
Distill past conversations safely	Not covered	Explicit local manifest, message-level time window, redaction, opaque source IDs, ignored `.enrich/` staging, and manual promotion into references/scripts
Ground knowledge skills in evidence	General advice	Authority ladder from real calls and machine-readable specs through production code, plus executable-example smoke checks and evidence-boundary rules
Have both installed at once	Coin flip — the two descriptions are near-identical	Detects the clash on trigger and offers a one-command, reversible SessionStart routing hook (only ever installed when both coexist); the official plugin stays usable by explicit request
Your own skill collides with an installed plugin	Not covered	`generate_supersede_kit.py` stamps the same conditional routing kit into your skill, plus a measured precedence decision guide (rename → description tiebreaker → hook → disable)

Quality comparison (independent audit, 8 dimensions):

Dimension	Official	This Fork
Actionability	7	9
Error Prevention	5	9
Prior Art Research	4	9
Counter Review Process	4	8
Real-World Lessons	3	8
User Experience	4	9
Total (out of 80)	42	65

Full methodology: skill-creator/references/skill-development-methodology.md

Quick Install

In Claude Code (in-app):

/plugin marketplace add daymade/claude-code-skills

Then:

Select Browse and install plugins
Select daymade/claude-code-skills
Select skill-creator
Select Install now