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Agent skill

Spark Recipe Team Workload

by readdle in readdle/spark-cli-skills

Audit team assignment distribution: per-member loads, delegated items, unassigned work, and workload imbalances.

MITAuto-check passedProductivity & Automation

Install Spark Recipe Team Workload

skills CLI
$ npx skills add readdle/spark-cli-skills --skill spark-recipe-team-workload -a claude-code

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

GitHub CLI
$ gh skill install readdle/spark-cli-skills spark-recipe-team-workload --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-team-workload .claude/skills/spark-recipe-team-workload && 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-team-workload
GitHub stars
149
Token cost
~712 tokens
SKILL.md length
308 words
Files
1
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Audit team assignment distribution: per-member loads, delegated items, unassigned work, and workload imbalances.

  • Works in 6 steps: Get the team overview → Review per-member assignments → Check what you've delegated → …
  • Tasks that involve Email management
  • SKILL.md covers Steps and Tips
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Spark Recipe Team Workload is an agent skill from readdle/spark-cli-skills. Audit team assignment distribution: per-member loads, delegated items, unassigned work, and workload imbalances.

Its SKILL.md is about 710 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, covering Email management. The licence is MIT.

When your agent uses it

  • Tasks that involve Email management

Example prompts

  • “/spark-recipe-team-workload”

Workflow steps

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

  1. Get the team overview
  2. Review per-member assignments
  3. Check what you've delegated
  4. Find unassigned work
  5. Check open vs. done in shared inboxes
  6. Present the workload report

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 Team Workload loads about 712 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 308 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~712

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). 308 words, ~712 tokens.

Download SKILL.mdSave it as .claude/skills/spark-recipe-team-workload/SKILL.md (or your agent's skills folder).
name
spark-recipe-team-workload
description
Audit team assignment distribution: per-member loads, delegated items, unassigned work, and workload imbalances.
metadata.version
1.0.0

Recipe: Team Workload

Deep audit of how work is distributed across a team. Surfaces per-member assignment loads, items you've delegated, unassigned work, and imbalances.

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

Access level required: read-only.

Steps

Step 1: Get the team overview
bash
spark team "Team Name"

Note the member list, shared inboxes, and the assignment summary. This gives you the high-level distribution.

Step 2: Review per-member assignments

For each team member, pull their current assignments:

bash
spark emails --filter "assigned_to:alice@co.com"
spark emails --filter "assigned_to:bob@co.com"
spark emails --filter "assigned_to:carol@co.com"

Note the count and scan subjects/dates to spot stale items (old assignments that may be stuck).

Step 3: Check what you've delegated
bash
spark emails --filter "assigned_by:me"

These are items you assigned to others. Cross-reference with per-member lists to see which are still open.

Step 4: Find unassigned work
bash
spark emails --filter "assigned_to:unassigned"

If the team uses shared inboxes, also check each one:

bash
spark emails shared@co.com:Inbox --filter "assigned_to:unassigned"
Step 5: Check open vs. done in shared inboxes
bash
spark emails --filter "is:shared_inbox_open"
spark emails --filter "is:shared_inbox_done"

The ratio of open to done gives a sense of whether the team is keeping up.

Step 6: Present the workload report

Summarize:

  • Per member: assignment count and any notably old items
  • Imbalances: flag members with significantly more or fewer assignments than average
  • Delegated by you: N items still open, any that look overdue
  • Unassigned: M items with no owner
  • Throughput: open vs. done ratio across shared inboxes

Tips

  • Run this weekly to catch imbalances before they become problems.
  • The team command's assignment summary is a quick snapshot; the per-member emails queries give the full picture.
  • Stale assignments (older than 7-14 days) are worth flagging - they may be stuck or forgotten.
  • assigned_by:me is useful for managers and leads who delegate frequently.
  • Compare this week's numbers to last week's (if you track them) to spot trends.
  • Combine with recipe-shared-inbox-status for a shared-inbox-focused view, or use this recipe for the broader team picture.
  • For large teams, focus on outliers rather than reporting every member - highlight who's overloaded and who has bandwidth.

© 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-team-workload of readdle/spark-cli-skills.

Open the folder on GitHubat commit cb20383

Compare with similar skills

Spark Recipe Team Workload 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 Team Workload compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Spark Recipe Team Workload this skillreaddle/spark-cli-skills149—~712Automated safety check: PassMIT
Garden Inboxpaperclipai/paperclip99k—~1.1kAutomated safety check: PassMIT
Continuetelegramdesktop/tdesktop33k2 repos~9.4kAutomated safety check: PassGPL-3.0
Process Inboxtelegramdesktop/tdesktop33k1 repos~5.4kAutomated safety check: PassGPL-3.0
Process InboxTDesktop-x64/tdesktop3k—~4.3kAutomated safety check: PassGPL-3.0
Career-Ops Gmail Lead Plugincareer-ops-hq/career-ops74k—~233Automated safety check: NotesMIT

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Categories

Questions about Spark Recipe Team Workload

What does Spark Recipe Team Workload do?

Audit team assignment distribution: per-member loads, delegated items, unassigned work, and workload imbalances. Spark Recipe Team Workload is an agent skill from readdle/spark-cli-skills. Audit team assignment distribution: per-member loads, delegated items, unassigned work, and workload imbalances.

When should I use Spark Recipe Team Workload?

Spark Recipe Team Workload fits situations like: tasks that involve Email management.

How do I install Spark Recipe Team Workload in Claude Code?

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

How do I install Spark Recipe Team Workload in Codex?

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

Can I use Spark Recipe Team Workload 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-team-workload -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-team-workload, .gemini/skills/spark-recipe-team-workload, .github/skills/spark-recipe-team-workload and .opencode/skills/spark-recipe-team-workload in your project.

What does Spark Recipe Team Workload need to run?

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

Does Spark Recipe Team Workload 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 Team Workload 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 Team Workload use?

Spark Recipe Team Workload 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 Team Workload use?

About 712 tokens (SKILL.md is roughly 2.8k 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 Team Workload?

Skills that share tags, products or a category with Spark Recipe Team Workload: Garden Inbox (paperclipai/paperclip, 99k stars), Continue (telegramdesktop/tdesktop, 33k stars), Process Inbox (telegramdesktop/tdesktop, 33k stars) and Process Inbox (TDesktop-x64/tdesktop, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spark Recipe Team Workload?

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.