domain-agentic-context SKILL.md skillA
domain-agentic-context from drayline/rootnode-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add drayline/rootnode-skills/domain-agentic-context@v6.0.0Pins v6.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- drayline/rootnode-skills
- Path
plugins/rootnode-prompts/skills/domain-agentic-context/SKILL.md- Versions recorded
- 2
- Latest version
- v6.0.0, committed Nov 3, 2026
- First version recorded
- Nov 1, 2026
- Size
- 24,289 bytes
- Repository stars
- 40
- License
- a license file GitHub does not identify
Specialized agentic and context engineering prompt methodology for Claude. Use when designing AI agents — system prompts, tool definitions, context window architectures, failure mode planning, multi-agent coordination, agent evaluation. Trigger on: "design an agent," "build a system prompt for an agent," "architect an agent's context," "design tool definitions," "agent system prompt," "context window architecture," "tool interface design," "evaluate agent behavior," "multi-agent coordination…
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
# Agentic & Context Engineering — Prompt Methodology > **Calibration:** Tier 1 (Model-compatible) — runs cleanly on the current dual-primary tier (Opus 5.5, Sonnet 5.5) and on Haiku 5.5. Structured retrieval, rule evaluation, or template lookup — output shape does not depend on the model. Fallback-graceful on Opus 5 / Sonnet 5; legacy-graceful on Sonnet 4.6. See repository README for model compatibility. Specialized approaches for designing AI agent systems: the system prompts agents follow, the tool definitions they consume, the context architectures they operate within, the failure modes they encounter, and the evaluation criteria that measure their performance. **This Skill is about designing agents, not using them.** Use it when the task is authoring an agent's behavioral instructions, tool interfaces, or context management strategy. Do not use it for the software infrastructure that hosts agents (servers, APIs, deployment) — standard technical approaches cover that. ## Refusal & fallback semantics (5.5 generation) …
Read the whole file at its exact version.
How to install
mdr add drayline/rootnode-skills/domain-agentic-context@sha256:a5960da3dbc06ecdThe line at the top of this page pins the label v6.0.0, 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_t2iwbdabcw4gga6w)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Nov 1, 2026 and Nov 3, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v6.0.0 latest | 2026-11-03 | 7bd17b8 | 24,289 B | A | view · diff |
| v5.0.1 | 2026-11-01 | f34b7ac | 24,233 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 (24289 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
drayline/rootnode-skills · 40 stars · license a license file GitHub does not identify · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_t2iwbdabcw4gga6w GET https://markdownregistry.com/api/v1/resolve?ref=drayline/rootnode-skills/domain-agentic-context GET https://markdownregistry.com/api/v1/blob/a5960da3dbc06ecdad6e0f2325fe684c5444104cf08e460b85230e25c0c6b056
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.