query-loop-implementation SKILL.md skillA
query-loop-implementation from simbajigege/book2skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add simbajigege/book2skills/query-loop-implementation@git:20260518.cf8ab2bPins git:20260518.cf8ab2b in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- simbajigege/book2skills
- Path
skills/query-loop-implementation/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260518.cf8ab2b, committed May 18, 2026
- Size
- 5,671 bytes
- Repository stars
- 202
- License
- MIT
Implement a production-ready LLM query loop / agent loop for AI applications. Use this skill whenever the user wants to add tool calling, ReAct-style reasoning-action-observation cycles, function calling loops, query engines, agent runtimes, tool_result feedback, max-turn exits, or Claude Code-like Agent Loop behavior to their own product or codebase.
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
# Query Loop Implementation ## Core Idea Build the loop as product infrastructure, not prompt glue: ```text ConversationManager -> QueryLoop -> ToolRuntime ``` - `ConversationManager` owns durable state: session id, messages, user settings, budget, persistence. - `QueryLoop` owns one task turn: call model, detect tool calls, execute tools, append tool results, repeat. - `ToolRuntime` owns registered tools: schemas, permission checks, execution, error formatting. Use ReAct as the mental model: ```text Thought -> Action -> Observation -> Thought -> Answer ``` Implement it as structured API traffic: ```text model thinking/text -> tool_call -> tool_result -> next model call -> final text ``` ## Implementation Workflow 1. Inspect the user's stack and current LLM call site. Find where messages are built, where the model is called, and whether tool/function calling is already configured. 2. Introduce a minimal query loop. Keep the first version narrow: one model call function, one tool registry, explicit exit conditions. 3. Normalize message shapes. …
Read the whole file at its exact version.
How to install
mdr add simbajigege/book2skills/query-loop-implementation@sha256:cf6555ee5332e769The line at the top of this page pins the label git:20260518.cf8ab2b, 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_zmkwgqqoni5bcz2k)
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Versions
The registry has recorded 1 version of this file, committed on May 18, 2026.
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 (5671 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
simbajigege/book2skills · 202 stars · license MIT · pushed 2026-08-26 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zmkwgqqoni5bcz2k GET https://markdownregistry.com/api/v1/resolve?ref=simbajigege/book2skills/query-loop-implementation GET https://markdownregistry.com/api/v1/blob/cf6555ee5332e76963fc1ed2b4a105fcac2e664d816cd7fece9f355584bb945a
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.