agentic-loops
Agentic Loops — an architecture concept covering loop, chain, pipeline, scw, partition.
Skill by mmc7676
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What's inside
- Skill name
agentic-loops- Description
- Agentic Loops — an architecture concept covering loop, chain, pipeline, scw, partition. Use when the user's task concerns agentic loops, or matches: loop, chain, pipeline, scw, partition, isolation, battery, hardening. Route with loops_route first — this concept's 2 skills and 0 loops are listed in reference/, and a coherent hit often names a different concept's formation.
- License
- Apache-2.0
- Instructions
- 33 lines in SKILL.md · view on GitHub
Files (4)
- SKILL.md
- agents.md · reference/
- loops.md · reference/
- skills.md · reference/
SKILL.md (first lines)
# Agentic Loops **Architecture concept** · 2 skill(s) · 0 loop(s) tagged `agentic-loops` Vocabulary: `loop`, `chain`, `pipeline`, `scw`, `partition`, `isolation`, `battery`, `hardening` ## When this applies A task concerns `agentic-loops` when it matches that vocabulary — but matching the vocabulary is not the same as belonging here. Route first and let the decision be examinable. ## What to do 1. **Route.** Call `loops_route(task="...")` with the task in plain language. It scores the task across concepts, skills and agents and returns the evidence for its decision — what it considered, what it rejected, and why. It binds nothing. 2. **Expect a fallback.** Nothing is tagged `agentic-loops`, so `loops_route` will fall back to skills or agents. Say so plainly — a routing miss is information about the library, not an error to hide. 3. **Bind, if you are going to run it.** `context_route_bind` asks the same question and commits: it binds the matching loop's partition in this session's own window. Without the Context plane installed, routing still answers; it just cannot be followed by a bind. ## What ships with this skill | file | contents | |---|---| | [reference/skills.md](reference/skills.md) | the 2 skill(s) under this concept, each with the agent formation bound to it | | [reference/loops.md](reference/loops.md) | the 0 loop(s) tagged `agentic-loops`, with provenance, status and hardening record | | [reference/agents.md](reference/agents.md) | the registry agents that appear in those loops, and what each specializes in | **No loop in the library is tagged `agentic-loops` yet.** That is a real gap in library coverage rather than a reason to stop: the concept's 2 skill(s) still name real formations, and a task that routes here is worth recording as a miss. ## The rule that carries A refusal is a result. If the runtime refuses a read, report it with its own message and hint rather than routing around it — the hint names the bridge that would make the access legal, and whether that access is justified is a decision to make explicitly. See [skills/scw](../scw/SKILL.md) for how partitioning and routing actually work.
From mmc7676/Maxey0, Apache-2.0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 25, 2026 (1 month ago)
- Last release
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/mmc7676/Maxey0
- Website
- pypi.org/project/maxey0/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Evaluation — an observability concept covering evaluation, score, drift, shadow, benchmark.
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governance
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agentic-loops skill. Agent Mart. https://agentmart.dev/skills/mmc7676-agentic-loops-319a68 (last updated 2026-10-24)