Claude Code Skills Marketplace is a collection and marketplace of skills, plugins, agents, and instructions that extend Claude Code with specialized development workflows. It is for developers who want to install existing workflows or create, validate, and package their own Claude Code skills.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add daymade/claude-code-skills --skill product-analysisgit clone --depth 1 https://github.com/daymade/claude-code-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/daymade/claude-code-skills/product-analysis)<a href="https://agentmods.dev/skills/daymade/claude-code-skills/product-analysis"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/product-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/daymade/claude-code-skills/product-analysis"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/product-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 44 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00092 | $0.02052 |
| Opus 5 | $0.00046 | $0.01026 |
| Sonnet 5 | $0.00018 | $0.00410 |
| Haiku 4.5 | $0.00009 | $0.00205 |
Grade A, and why
product-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Analysis
Multi-path parallel product analysis that combines Claude Code agent teams and Codex CLI for cross-model test-time compute scaling.
Core principle: Same analysis task, multiple AI perspectives, deep synthesis.
How It Works
/product-analysis full
│
├─ Step 0: Auto-detect available tools (codex? competitors?)
│
┌────┼──────────────┐
│ │ │
Claude Code Codex CLI (auto-detected)
Task Agents (background Bash)
(Explore ×3-5) (×2-3 parallel)
│ │
└────────┬──────────┘
│
Synthesis (main context)
│
Structured Report
Step 0: Auto-Detect Available Tools
Before launching any agents, detect what tools are available:
# Check if Codex CLI is installed
which codex 2>/dev/null && codex --version
Decision logic:
- If
codexis found: Inform the user — "Codex CLI detected (version X). Will run cross-model analysis for richer perspectives." - If
codexis not found: Silently proceed with Claude Code agents only. Do NOT ask the user to install anything.
Also detect the project type to tailor agent prompts:
# Detect project type
ls package.json 2>/dev/null # Node.js/React
ls pyproject.toml 2>/dev/null # Python
ls Cargo.toml 2>/dev/null # Rust
ls go.mod 2>/dev/null # Go
Scope Modes
Parse $ARGUMENTS to determine analysis scope:
| Scope | What it covers | Typical agents |
|---|---|---|
full |
UX + API + Architecture + Docs (default) | 5 Claude + Codex (if available) |
ux |
Frontend navigation, information density, user journey, empty state, onboarding | 3 Claude + Codex (if available) |
api |
Backend API coverage, endpoint health, error handling, consistency | 2 Claude + Codex (if available) |
arch |
Module structure, dependency graph, code duplication, separation of concerns | 2 Claude + Codex (if available) |
compare X Y |
Self-audit + competitive benchmarking (invokes /competitors-analysis) |
3 Claude + competitors-analysis |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 232 lines · 92 tokens per session scan A b022efb35053
product-analysis is a skill published in the GitHub repository daymade/claude-code-skills (1,384 stars, last pushed today), licensed MIT. It adds 92 tokens to every session and 2,052 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
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Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…