By daymade
Recover, diagnose, and optimize your Claude Code environment: restore lost sessions and files, troubleshoot plugins, slim CLAUDE.md, fix export formatting, isolate multi-provider profiles, render terminal output as PNG, and convert any skills repo into a plugin marketplace.
Diagnose and resolve Claude Code plugin and skill issues. This skill should be used when plugins are installed but not showing in available skills list, skills are not activating as expected, or when troubleshooting enabledPlugins configuration in settings.json. Triggers include "plugin not working", "skill not showing", "installed but disabled", or "enabledPlugins" issues.
Finds and recovers content from Claude Code session history files. This skill should be used when searching for deleted files, tracking changes across sessions, analyzing conversation history, or recovering code from previous Claude interactions. Triggers include mentions of "session history", "recover deleted", "find in history", "previous conversation", or ".claude/projects".
Recover actionable context from local `.claude` session artifacts and continue interrupted work without running `claude --resume`. This skill should be used when the user provides a Claude session ID, asks to continue prior work from local history, or wants to inspect `.claude` files before resuming implementation.
Optimize / slim down / restructure a CLAUDE.md (or AGENTS.md) using progressive disclosure — move low-frequency detail to Level 2 references while keeping Level 1 lean, WITHOUT losing information. Use this whenever the user asks to optimize / 精简 / 瘦身 / 重构 CLAUDE.md, asks "CLAUDE.md 是不是太大了 / 太长了" (is my CLAUDE.md too big / too long / bloated), wants to 把内容拆到 reference / 外部 / Level 2, do 整段外移 / 渐进式披露 / progressive disclosure, or whenever a CLAUDE.md duplicates info across files or the LLM keeps failing to follow its rules. ALSO trigger the moment an optimization turns into moving / cutting / compressing sections of a CLAUDE.md — even mid-task while another claude-md skill is already running. Distinct from claude-md quality auditors / scorers: this is the restructuring-and-offloading methodology that guarantees zero information loss (grep-verified pointers, verbatim moves, 5b content-integrity audit).
Installs, configures, customizes, or troubleshoots the Claude Code statusline (cwd, model, token counts). Use when the user wants to set up or change the statusline, switch minimal vs full layouts, show absolute token counts (e.g. ctx 108K / 1M) instead of a percentage, add cost via ccusage or git status, dump the stdin JSON Claude Code passes the script, or fix a statusline that is blank, silent, stuck, shows "permission denied", or stopped updating after a script edit (often a missing chmod +x). Trigger phrases: "configure statusline", "statusline blank", "status line not showing", "statusline broken", "show token count in statusline", 状态栏, 状态栏不显示, 状态栏空白, 显示工作目录, 显示 token 数.
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Professional Claude Code skills marketplace featuring production-ready skills for enhanced development workflows.
⭐ 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.
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
In Claude Code (in-app):
/plugin marketplace add daymade/claude-code-skills
Then:
npx claudepluginhub p/daymade-daymade-claude-code-daymade-claude-codeCo-create a personal investment-research LLM Wiki (Andrej Karpathy's pattern) where the user's OWN analysis framework becomes a living CLAUDE.md — by interviewing them, NOT by handing them a template. Use whenever the user wants to build a compounding research knowledge base, 投研第二大脑, 投研知识库, or 个人投研 wiki; instantiate Karpathy's LLM Wiki gist for finance/investing; turn their stock-picking, analyst-tracking, or earnings-watching workflow into a structured markdown vault; or build a wiki tracking companies / industries / macro / analysts over time. Pure markdown + wikilinks, NO RAG / vector DB (Karpathy's core idea — do not over-engineer). Also triggers for ingesting research reports / earnings calls / expert notes into an existing wiki, and for post-earnings prediction→fulfillment reviews. Core value = extracting the user's personal investment preferences into THEIR OWN schema, never imposing a standard one.
Compare two videos and generate interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Use when analyzing compression results, evaluating codec performance, or assessing video quality differences
Generate format-controlled research reports with evidence tracking, source governance, and multi-pass synthesis. V6.1 adds: source accessibility (circular verification forbidden, exclusive advantage encouraged). Enterprise Research Mode: six-dimension data collection, SWOT/barrier/risk frameworks, and three-level quality control for company research
Scan and remove sensitive data (secrets, API keys, private domains/IPs, PII) from GitHub repository history. Use this skill whenever the user says scan sensitive data, clean git history, remove secrets from repo, sanitize GitHub history, 清理敏感数据, 历史重写, force push, 泄露, or needs to repair a public repo after accidental secret/private context leakage. Also use before any force push to a public repository to verify visibility, backup, and scan results.
Investigate and resolve Cloudflare configuration issues using API-driven evidence gathering. Use when troubleshooting ERR_TOO_MANY_REDIRECTS, SSL errors, DNS issues, or any Cloudflare-related problems
Create, test, measure, and iteratively improve Claude Code skills with category-aware design, gotchas-driven development, progressive disclosure coaching, and automated description optimization.
Skill and agent authoring tools: generate, audit, and improve Claude Code skills, commands, and agents
Core skills: ecosystem guide, skill creator, research patterns, session reflection, and plugin development. Includes UserPromptSubmit hook for forced skill evaluation.
Daymade skills core suite. Bundles skill creation, quality review, governance, and marketplace development tooling under one shared namespace.
Create and validate production-grade agent skills with 100-point marketplace grading
Persistent file-based planning for AI coding agents. Crash-proof markdown plans (task_plan.md, findings.md, progress.md) that survive context loss and /clear, with an opt-in completion gate and multi-agent shared state. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard. Includes Arabic, German, Spanish, and Chinese (Simplified and Traditional).