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Agent Patterns · majiayu000 | DecimalAI

agent toolingby majiayu000

Agent Patterns

majiayu000/agent-patterns

Source majiayu000/claude-skill-registry ↗License MIT

Execute this skill should be used when the user asks about "SPAWN REQUEST format", "agent reports", "agent coordination", "parallel agents", "report format", "agent communication", or needs to understand how agents coordinate within the sprint system.

SkillScore100Maintained

Automatic

AI Engineer pack

Last verified 8/18/2026

What it changes

Passed 22 of 22 test cases with the skill, and 21 of 22 without it.

Without skill95%

With skill100%

Checks it passed that the model alone missed

Recommends Prompt Chaining for sequential step-by-step LLM pipeline execution

1 fixed21 passed either way0 still failing0 broke

Pass-rate lift: +5 pp
Tokens: -1%
Agent turns: 0%
Response time: -9%

Model gemini-3.6-flashMeasured 8/18/2026v122 of 22 cases passed with skill

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/majiayu000-agent-patterns/SKILL.md https://app.decimal.ai/s/majiayu000-agent-patterns/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add majiayu000-agent-patterns, 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/majiayu000-agent-patterns/ and pins it in .decimal/skills.lock

decimalai skills add majiayu000-agent-patterns

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

curl -fsSL --create-dirs -o .claude/skills/majiayu000-agent-patterns/SKILL.md https://app.decimal.ai/s/majiayu000-agent-patterns/SKILL.md

Raw file: /s/majiayu000-agent-patterns/SKILL.md ↗ · machine-readable summary at /s/majiayu000-agent-patterns.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

A test case the skill fixed. Same model, same prompt, with and without the skill.

Prompt

An application processes raw support emails by first extracting structural JSON metadata, then translating the text to English, and finally generating a response draft. Each step depends strictly on the output of the prior step. What structural pattern best models this sequence?

What was checked, without and with the skill
Checked	Without skill	With skill
Recommends Prompt Chaining for sequential step-by-step LLM pipeline execution	Missed	Passed

case-05 · gemini-3.6-flash · 8/18/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md34 linessingle file

Agent Patterns

Overview

This skill provides automated assistance for the described functionality.

Prerequisites

Appropriate file access permissions
Required dependencies installed

Instructions

Invoke this skill when the trigger conditions are met
Provide necessary context and parameters
Review the generated output
Apply modifications as needed

Output

The skill produces structured output relevant to the task.

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Examples

See {baseDir}/references/examples.md for detailed examples.

Resources

Project documentation
Related skills and commands

Track record

Benchmark

22 / 22

test cases passed, vs 21 / 22 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 — 8/3/2026

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

majiayu000 / claude-skill-registry

skills/agent/agent-patterns-helixdevelopment-helixagent-2/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

jeremylongshore/agent-patternsExecute this skill should be used when the user asks about "SPAWN REQUEST format", "agent reports", "agent coordination", "parallel agents", "report format", "agent communication", or needs to understand how agents coordinate within the sprint system. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.Close match+45 pp pass-rate lift

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

Ready to supercharge your AI agents?

See it in action

What's inside

Agent Patterns

Overview

Prerequisites

Instructions

Output

Error Handling

Examples

Resources

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills