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Agent skill

Spark Recipe Calendar Audit

by readdle in readdle/spark-cli-skills

Analyze meeting load over a time range: total meetings, meeting hours, busiest days, back-to-back chains, and free blocks.

MITAuto-check passedProductivity & Automation

Install Spark Recipe Calendar Audit

skills CLI
$ npx skills add readdle/spark-cli-skills --skill spark-recipe-calendar-audit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install readdle/spark-cli-skills spark-recipe-calendar-audit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/readdle/spark-cli-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/recipe-calendar-audit .claude/skills/spark-recipe-calendar-audit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
spark-recipe-calendar-audit
GitHub stars
149
Token cost
~761 tokens
SKILL.md length
366 words
Files
1
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Analyze meeting load over a time range: total meetings, meeting hours, busiest days, back-to-back chains, and free blocks.

  • Works in 5 steps: Pull events for the period → Check free time → Compute metrics → …
  • Productivity & Automation work in your project
  • SKILL.md covers Steps and Tips
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Spark Recipe Calendar Audit is an agent skill from readdle/spark-cli-skills. Analyze meeting load over a time range: total meetings, meeting hours, busiest days, back-to-back chains, and free blocks.

Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation. The licence is MIT.

When your agent uses it

  • Productivity & Automation work in your project

Example prompts

  • “/spark-recipe-calendar-audit”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Pull events for the period
  2. Check free time
  3. Compute metrics
  4. Check across calendars (optional)
  5. Present the audit

What it can do on your machine

Read from SKILL.md and the folder at commit cb20383. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Spark Recipe Calendar Audit loads about 761 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 366 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~761

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from readdle/spark-cli-skills at commit cb20383, republished under its MIT licence (© readdle). 366 words, ~761 tokens.

Download SKILL.mdSave it as .claude/skills/spark-recipe-calendar-audit/SKILL.md (or your agent's skills folder).
name
spark-recipe-calendar-audit
description
Analyze meeting load over a time range: total meetings, meeting hours, busiest days, back-to-back chains, and free blocks.
metadata.version
1.0.0

Recipe: Calendar Audit

Analyze meeting load over a week or custom time range. Count meetings, estimate total hours, identify the busiest days, flag back-to-back chains, and surface free blocks.

Prerequisite: Read the use-spark base skill for command reference and filter syntax.

Access level required: read-only.

Steps

Step 1: Pull events for the period

For the current week:

bash
spark events --week

For a custom range:

bash
spark events --start 2026-04-13 --end 2026-04-17

Record each event's date, start time, end time, and title.

Step 2: Check free time
bash
spark availability --week

Or for the same custom range:

bash
spark availability --start 2026-04-13 --end 2026-04-17

This shows free slots within working hours (08:00-20:00), skipping weekends and events marked "free."

Step 3: Compute metrics

From the events list, calculate:

  • Total meetings: count of events
  • Total meeting hours: sum of all event durations
  • Per-day breakdown: meetings and hours per day
  • Busiest day: the day with the most meeting hours
  • Lightest day: the day with the fewest meetings (best for deep work)
  • Back-to-back chains: sequences of 2+ meetings with no gap between them
  • Longest free block: the largest contiguous free window from the availability output
Step 4: Check across calendars (optional)

If the user has multiple calendars or accounts:

bash
spark events --week --in user@work.com
spark events --week --in user@personal.com

Compare meeting loads across contexts.

Show full SKILL.md (178 more words)Show less
Step 5: Present the audit

Report:

  • Summary: N meetings totaling X hours this week (Y% of working hours)
  • Per day: table of meetings and hours per day, flagging the busiest and lightest
  • Back-to-back: list any chains of consecutive meetings (flag chains of 3+)
  • Free blocks: the longest free windows available for deep work
  • Observations: any patterns worth noting (e.g., mornings packed but afternoons free, one day completely booked)

Tips

  • Run this on Monday to plan the week, or Friday to review how the week went.
  • Back-to-back chains of 3+ meetings are worth flagging - they leave no buffer for breaks or follow-ups.
  • The ratio of meeting hours to total working hours (assume 8-10 hours/day) gives a quick "meeting load" percentage.
  • For a forward-looking audit, use --start and --end with next week's dates.
  • Events marked "free" in the calendar don't count against availability - they won't inflate the meeting load.
  • Combine with recipe-schedule-meeting to find the best slots for new meetings in a busy week.
  • If the user has recurring meetings, patterns will be consistent week-to-week. Focus commentary on what's unusual.

© readdle, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/recipe-calendar-audit of readdle/spark-cli-skills.

Open the folder on GitHubat commit cb20383

Compare with similar skills

Spark Recipe Calendar Audit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Spark Recipe Calendar Audit compared with similar skills
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Spark Recipe Calendar Audit this skillreaddle/spark-cli-skills149—~761Automated safety check: PassMIT
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Dependency Watchtelegramdesktop/tdesktop33k1 repos~2.2kAutomated safety check: PassGPL-3.0
Perform Tasktelegramdesktop/tdesktop33k2 repos~3kAutomated safety check: PassGPL-3.0
Brave Searchbadlogic/pi-skills2.6k5 repos~592Automated safety check: PassMIT
Garden Inboxpaperclipai/paperclip100k—~1.1kAutomated safety check: PassMIT

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Categories

Questions about Spark Recipe Calendar Audit

What does Spark Recipe Calendar Audit do?

Analyze meeting load over a time range: total meetings, meeting hours, busiest days, back-to-back chains, and free blocks. Spark Recipe Calendar Audit is an agent skill from readdle/spark-cli-skills. Analyze meeting load over a time range: total meetings, meeting hours, busiest days, back-to-back chains, and free blocks.

When should I use Spark Recipe Calendar Audit?

Spark Recipe Calendar Audit fits situations like: productivity & Automation work in your project.

How do I install Spark Recipe Calendar Audit in Claude Code?

Run `npx skills add readdle/spark-cli-skills --skill spark-recipe-calendar-audit -a claude-code`. Or copy the skill folder (skills/recipe-calendar-audit in readdle/spark-cli-skills) into .claude/skills/spark-recipe-calendar-audit in your project. Claude Code loads it when a task matches its description.

How do I install Spark Recipe Calendar Audit in Codex?

Run `npx skills add readdle/spark-cli-skills --skill spark-recipe-calendar-audit -a codex`. Or copy the skill folder (skills/recipe-calendar-audit in readdle/spark-cli-skills) into .agents/skills/spark-recipe-calendar-audit in your project. Codex loads it when a task matches its description.

Can I use Spark Recipe Calendar Audit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add readdle/spark-cli-skills --skill spark-recipe-calendar-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spark-recipe-calendar-audit, .gemini/skills/spark-recipe-calendar-audit, .github/skills/spark-recipe-calendar-audit and .opencode/skills/spark-recipe-calendar-audit in your project.

What does Spark Recipe Calendar Audit need to run?

SKILL.md names no scripts, command-line tools or credentials: Spark Recipe Calendar Audit is instructions for the agent only.

Does Spark Recipe Calendar Audit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Spark Recipe Calendar Audit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Spark Recipe Calendar Audit use?

Spark Recipe Calendar Audit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Spark Recipe Calendar Audit use?

About 761 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Spark Recipe Calendar Audit?

Skills that share tags, products or a category with Spark Recipe Calendar Audit: Agent Browser (quran/quran.com-frontend-next, 1.9k stars), Dependency Watch (telegramdesktop/tdesktop, 33k stars), Perform Task (telegramdesktop/tdesktop, 33k stars) and Brave Search (badlogic/pi-skills, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spark Recipe Calendar Audit?

readdle (a GitHub organization) maintains it in readdle/spark-cli-skills, which has 149 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on October 7, 2026.

Source: readdle/spark-cli-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.