Individual skill
int-patterns
Pattern library for Copilot Studio agent design. Contains proven and recommended implementation patterns with YAML examples. Used by the Advisor agent to suggest patterns and by the Author agent to reference YAML structure during implementation. USE FOR: design guidance, pattern suggestions, review against best practices, troubleshooting known pitfalls, YAML reference during implementation. DO NOT USE FOR: general YAML schema reference (use int-reference), topic creation mechanics (use new-topic).
skills/int-patterns/SKILL.md
Source commit 9c42d3a612c6e06389b6e5b4eed579aaed1a8b63
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 489
- Repository last updated
- Nov 5, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- design Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
# Copilot Studio Pattern Library
**Only read the pattern file relevant to the current task** — do NOT read all files.
## How to use patterns
Patterns are **recommendations, not requirements**. How you present them depends on your role:
**If you are the Advisor agent:**
- Present each pattern as a suggestion — explain the challenge it solves and why it's relevant
- Use status-appropriate language:
- `proven`: "This is a proven pattern used in production — consider it for…"
- `recommended`: "A recommended approach that works well — consider it for…"
- `experimental`: "This is an experimental approach, not yet fully validated — you may want to test thoroughly before adopting"