claude-code-best-practice is a repository of agents, commands, skills, hooks, plugins, and configuration guidance for Claude Code. It helps developers organize repeatable workflows and apply agentic engineering practices, including in monorepos. The catalogue entries are its reusable Claude Code workflow components.
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.
git clone --depth 1 https://github.com/shanraisshan/claude-code-best-practiceWrote 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/commands/shanraisshan/claude-code-best-practice/time-orchestrator)<a href="https://agentmods.dev/commands/shanraisshan/claude-code-best-practice/time-orchestrator"><img src="https://agentmods.dev/badge/commands/shanraisshan/claude-code-best-practice/time-orchestrator.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00020 | $0.00576 |
| Opus 5 | $0.00010 | $0.00288 |
| Sonnet 5 | $0.00004 | $0.00115 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
time-orchestrator 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- time-orchestrator — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Time Orchestrator Command
Fetch the current time for Dubai (Asia/Dubai, UTC+4) and create a visual SVG time card.
Workflow
Step 1: Fetch Current Dubai Time
Use the Agent tool to invoke the time agent:
- subagent_type: time-agent
- description: Fetch current Dubai time
- prompt: Fetch the current time for Dubai (Asia/Dubai, UTC+4). Return exactly three fields:
time(the time portion, e.g. "14:30:45"),timezone("GST (UTC+4)"), andformatted(full formatted string, e.g. "2026-03-12 14:30:45 +04"). The agent has a preloaded skill (time-fetcher) that provides the detailed instructions. - model: haiku
Wait for the agent to complete and capture the returned time data.
Data Contract
The time-agent MUST return these three fields:
- time: The time portion (e.g., "14:30:45")
- timezone: "GST (UTC+4)"
- formatted: Full formatted string (e.g., "2026-03-12 14:30:45 +04")
Step 2: Create SVG Time Card
Use the Skill tool to invoke the time-svg-creator skill:
- skill: time-svg-creator
- args: Pass the time data from Step 1 — include
time,timezone, andformattedvalues
The skill will use the time data from Step 1 (available in the current context) to create the SVG card and write output files.
Critical Requirements
- Use Agent Tool for time-agent: DO NOT use bash commands to invoke agents. You must use the Agent tool with
subagent_type: "time-agent". - Use Skill Tool for SVG Creator: Invoke the SVG creator via the Skill tool with
skill: "time-svg-creator", not the Agent tool. - Sequential Flow: The agent MUST complete and return time data before the skill is invoked. Do not run them in parallel.
- Data Passing: Ensure all three fields (time, timezone, formatted) from the agent response are available in context when invoking the skill.
Output Summary
After both steps complete, provide a clear summary to the user showing:
- Current Dubai time fetched
- Timezone: GST (UTC+4)
- Full formatted timestamp
- SVG card created at
agent-teams/output/dubai-time.svg - Summary written to
agent-teams/output/output.md
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.
- 9d ago First seen · 52 lines · 20 tokens per session scan A 5eeb863b6bc9
time-orchestrator is a command published in the GitHub repository shanraisshan/claude-code-best-practice (65,734 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 576 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
biz-pitch
Create a pitch deck and prepare the presentation of a project.
improve-prompt
Improve any prompt — for LLMs/chat/agents or generative image/video/audio models. Model-agnostic; interviews to fill real gaps, then returns a rewritten prompt plus a short rationale.
qwen-setup
Set up the Qwen Video Bridge (API key + dependencies).
uw-cmd-polish
Apply "juice" to a working feature using the Game Feel Document's Feedback Matrix.
executive-briefing
Executive-focused review: analyzes Strategy Cloud dashboards, enriches findings, and produces executive deliverables via Slack, Canva presentations, and Figma annotations.
checklist
Generate a custom checklist for the current feature based on user requirements.