Agent skill

Spark Recipe Priority Tuning

by readdle in readdle/spark-cli-skills

Fine-tune Spark's priority category by marking key contacts as primary and adjusting notification importance.

MITAuto-check passed

Install Spark Recipe Priority Tuning

skills CLI
$ npx skills add readdle/spark-cli-skills --skill spark-recipe-priority-tuning -a claude-code

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

GitHub CLI
$ gh skill install readdle/spark-cli-skills spark-recipe-priority-tuning --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-priority-tuning .claude/skills/spark-recipe-priority-tuning && 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-priority-tuning
GitHub stars
149
Token cost
~699 tokens
SKILL.md length
283 words
Files
1
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Fine-tune Spark's priority category by marking key contacts as primary and adjusting notification importance.

  • Works in 6 steps: Review current priority mail → Check who's currently marked as primary → Add missing VIPs → …
  • SKILL.md covers Steps and Tips
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Spark Recipe Priority Tuning is an agent skill from readdle/spark-cli-skills. Fine-tune Spark's priority category by marking key contacts as primary and adjusting notification importance.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The licence is MIT.

Example prompts

  • “/spark-recipe-priority-tuning”

Workflow steps

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

  1. Review current priority mail
  2. Check who's currently marked as primary
  3. Add missing VIPs
  4. Remove false priorities
  5. Adjust notification importance
  6. Verify the changes

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 Priority Tuning loads about 699 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 283 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
~699

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). 283 words, ~699 tokens.

Download SKILL.mdSave it as .claude/skills/spark-recipe-priority-tuning/SKILL.md (or your agent's skills folder).
name
spark-recipe-priority-tuning
description
Fine-tune Spark's priority category by marking key contacts as primary and adjusting notification importance.
metadata.version
1.0.0

Recipe: Priority Tuning

Fine-tune who gets auto-prioritized by reviewing the current priority category and adjusting contact-level settings.

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

Access level required: triage.

Steps

Step 1: Review current priority mail
bash
spark emails Inbox --filter "category:priority newer_than:14d"

Look at which senders appear in the priority category. Ask the user: are these the right people? Anyone missing? Anyone who shouldn't be here?

Step 2: Check who's currently marked as primary

Browse priority mail to identify the senders Spark is auto-prioritizing. Note any patterns - are important contacts missing, or are low-priority senders appearing?

Step 3: Add missing VIPs

For contacts whose emails should always be prioritized:

bash
spark contact-action markContactAsPrimary vip@company.com

This tells Spark to auto-prioritize all future email from this sender.

Step 4: Remove false priorities

For contacts that are showing up in priority but shouldn't be:

bash
spark contact-action unmarkContactAsPrimary noisy-sender@example.com
Step 5: Adjust notification importance

For contacts where the user wants push notifications:

bash
spark contact-action markContactAsImportant boss@company.com

For contacts that are priority but don't need notifications:

bash
spark contact-action unmarkContactAsImportant low-urgency@example.com
Step 6: Verify the changes
bash
spark emails Inbox --filter "category:priority is:unread"

Check that the priority category now reflects the user's preferences. New mail from adjusted contacts will appear in the correct category.

Tips

  • markContactAsPrimary is the strongest signal - it guarantees the contact's emails land in priority.
  • markContactAsImportant controls push notifications, which is separate from category placement.
  • Changes apply to all future mail from the contact, not retroactively to existing emails.
  • Run this recipe after onboarding a new client, joining a new team, or changing roles - priority contacts change with context.
  • When contacts are in the wrong category entirely (not just missing from priority), use spark contact-action changeCategoryPersonal / changeCategoryNotification / changeCategoryNewsletters to reclassify all future mail from that sender.
  • A well-tuned priority category means the user can check just category:priority for a reliable "must-read" view.

© 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-priority-tuning of readdle/spark-cli-skills.

Open the folder on GitHubat commit cb20383

Compare with similar skills

Spark Recipe Priority Tuning 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 Priority Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Spark Recipe Priority Tuning this skillreaddle/spark-cli-skills149—~699Automated safety check: PassMIT
LLM Fine Tuningsickn33/agentic-awesome-skills47k1 repos~2.3kAutomated safety check: PassMIT
Fine Tuning With TrlOrchestra-Research/AI-Research-SKILLs13k6 repos~2.9kAutomated safety check: PassMIT
Peft Fine TuningOrchestra-Research/AI-Research-SKILLs13k6 repos~3.1kAutomated safety check: PassMIT
Fine-Tuning ExpertJeffallan/claude-skills12k—~1.7kAutomated safety check: PassMIT
OpenVLA-OFT Fine-TuningOrchestra-Research/AI-Research-SKILLs13k—~3.7kAutomated safety check: PassMIT

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Questions about Spark Recipe Priority Tuning

What does Spark Recipe Priority Tuning do?

Fine-tune Spark's priority category by marking key contacts as primary and adjusting notification importance. Spark Recipe Priority Tuning is an agent skill from readdle/spark-cli-skills. Fine-tune Spark's priority category by marking key contacts as primary and adjusting notification importance.

How do I install Spark Recipe Priority Tuning in Claude Code?

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

How do I install Spark Recipe Priority Tuning in Codex?

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

Can I use Spark Recipe Priority Tuning 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-priority-tuning -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-priority-tuning, .gemini/skills/spark-recipe-priority-tuning, .github/skills/spark-recipe-priority-tuning and .opencode/skills/spark-recipe-priority-tuning in your project.

What does Spark Recipe Priority Tuning need to run?

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

Does Spark Recipe Priority Tuning 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 Priority Tuning 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 Priority Tuning use?

Spark Recipe Priority Tuning 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 Priority Tuning use?

About 699 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 Priority Tuning?

Skills that share tags, products or a category with Spark Recipe Priority Tuning: LLM Fine Tuning (sickn33/agentic-awesome-skills, 47k stars), Fine Tuning With Trl (Orchestra-Research/AI-Research-SKILLs, 13k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Fine-Tuning Expert (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spark Recipe Priority Tuning?

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.