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Playbooks · vellum-ai | DecimalAI

agent toolingby vellum-ai

Playbooks

vellum-ai/playbooks

Source vellum-ai/vellum-assistant ↗License MIT

Trigger-action automation rules for handling incoming messages

SkillScore77Maintained

Automatic

Personal Assistant pack

Last verified 8/4/2026

What it changes

Passed 13 of 17 test cases with the skill, and 8 of 17 without it.

Without skill45%

With skill77%

Checks it passed that the model alone missed

Explains that playbooks are stored as memory items
Identifies playbook_delete as the function used to remove rules
Identifies playbook_create as the function that creates new rules

and 5 more in the full report

8 fixed9 passed either way4 still failing1 broke

Pass-rate lift: +32 pp
Tokens: -53%
Agent turns: 0%
Response time: -60%

Model gemini-3.6-flashMeasured 8/4/2026v117 of 22 cases passed with skill · 17 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/vellum-ai-playbooks/SKILL.md https://app.decimal.ai/s/vellum-ai-playbooks/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add vellum-ai-playbooks, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/vellum-ai-playbooks/ and pins it in .decimal/skills.lock

decimalai skills add vellum-ai-playbooks

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/vellum-ai-playbooks/SKILL.md https://app.decimal.ai/s/vellum-ai-playbooks/SKILL.md

Raw file: /s/vellum-ai-playbooks/SKILL.md ↗ · machine-readable summary at /s/vellum-ai-playbooks.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 8

Prompt

I want to create an incoming message rule for lead inquiries without specifying whether it should execute automatically or require review. What autonomy level will be assigned to the new rule by default?

What was checked, without and with the skill
Checked	Without skill	With skill
Identifies draft as the default autonomy level assigned when none is specified	Missed	Passed

case-07 · gemini-3.6-flash · 8/4/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md25 linessingle file

Playbooks are trigger-action automation rules that tell the assistant how to handle incoming messages matching a pattern.

Structure

Each playbook has:

Trigger: Pattern or description that activates the rule (e.g. "meeting request", "from:ceo@*")
Action: What to do when triggered (natural language description)
Channel: Which channel the rule applies to ("*" = all channels, or specific like "email", "slack")
Category: Free-form grouping label (e.g. "scheduling", "triage")
Autonomy level: How much autonomy the assistant has
- auto -- execute immediately without asking
- draft -- prepare a response for user review (default)
- notify -- alert the user only
Priority: Numeric priority for overlapping rules (higher = takes precedence)

Lifecycle

Create a playbook with playbook_create specifying trigger and action.
List existing playbooks with playbook_list, optionally filtering by channel or category.
Update rules with playbook_update or remove them with playbook_delete.

Storage

Playbooks are stored as memory items with semantic retrieval, enabling fuzzy matching of incoming messages against trigger patterns.

Track record

Benchmark

13 / 17

test cases passed, vs 8 / 17 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

vellum-ai / vellum-assistant

assistant/src/config/bundled-skills/playbooks/SKILL.md

View on GitHub ↗

License MITImported 8/1/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.