agent-orchestration-improve-agent SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
agent-orchestration-improve-agent from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add francostino/opencode-skills-collection/agent-orchestration-improve-agent@git:20261015.fac8b7ePins git:20261015.fac8b7e in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- francostino/opencode-skills-collection
- Path
bundled-skills/agent-orchestration-improve-agent/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261015.fac8b7e, committed Oct 15, 2026
- First version recorded
- Mar 18, 2026
- Size
- 11,479 bytes
- Repository stars
- 87
- License
- MIT
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Agent Performance Optimization Workflow Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration. [Extended thinking: Agent optimization requires a data-driven approach combining performance metrics, user feedback analysis, and advanced prompt engineering techniques. Success depends on systematic evaluation, targeted improvements, and rigorous testing with rollback capabilities for production safety.] ## Use this skill when - Improving an existing agent's performance or reliability - Analyzing failure modes, prompt quality, or tool usage - Running structured A/B tests or evaluation suites - Designing iterative optimization workflows for agents ## Do not use this skill when - You are building a brand-new agent from scratch - There are no metrics, feedback, or test cases available - The task is unrelated to agent performance or prompt quality ## Instructions 1. Establish baseline metrics and collect representative examples. 2. Identify failure modes and prioritize high-impact fixes. 3. Apply prompt and workflow improvements with measurable goals. 4. Validate with tests and roll out changes in controlled stages. …
Read the whole file at its exact version.
How to install
mdr add francostino/opencode-skills-collection/agent-orchestration-improve-agent@sha256:bcf6dcb01e1516a1The line at the top of this page pins the label git:20261015.fac8b7e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_oozs5yasvtwxhesh)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Mar 18, 2026 and Oct 15, 2026, about one every 70 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261015.fac8b7e latest | 2026-10-15 | fac8b7e | 11,479 B | A | view · diff |
| git:20260730.90257ed | 2026-07-30 | 90257ed | 10,507 B | A | view · diff |
| git:20260707.168343c | 2026-07-07 | 168343c | 10,506 B | A | view · diff |
| git:20260318.cf0657a | 2026-03-18 | cf0657a | 10,187 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11479 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_oozs5yasvtwxhesh GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/agent-orchestration-improve-agent GET https://markdownregistry.com/api/v1/blob/bcf6dcb01e1516a18c26ed58df29f1168494d4e8ac9cab9c4adf6977f6cd7338
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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