fleet
Router for the five-tier fleet starter skill (l1-basic..l5-autonomous) — selects the AAL/complexity level and its context budget for a spawned agent.
Skill by Arcanada-one
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/arcanada-one-fleet
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: finance, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/fleet
What's inside
- Skill name
fleet- Description
- Router for the five-tier fleet starter skill (l1-basic..l5-autonomous) — selects the AAL/complexity level and its context budget for a spawned agent.
- License
- MIT
- Instructions
- 27 lines in SKILL.md · view on GitHub
Files (6)
- SKILL.md
- SKILL.md · l1-basic/
- SKILL.md · l2-structured/
- SKILL.md · l3-analyst/
- SKILL.md · l4-expert/
- SKILL.md · l5-autonomous/
SKILL.md (first lines)
# Fleet — Complexity-Tier Worker Skills Fleet workers receive a task brief plus one **complexity-tier** starter skill that sets their context budget and operating rules. This entry is a router: pick the single level fragment that matches the task's complexity, load it, and follow it. Do not load more than one level. ## Choosing a level | Level | When | Context budget | Fragment | |-------|------|----------------|----------| | L1 — basic | Single elementary step, one tool, no branching | ~200 tokens | `l1-basic/SKILL.md` | | L2 — structured | A few templated steps, allowed-command list | ~500 tokens | `l2-structured/SKILL.md` | | L3 — analyst | Analysis with a choice between alternatives; RAG on demand | ~1500 tokens | `l3-analyst/SKILL.md` | | L4 — expert | Complex task with several subtasks; decompose and sequence | ~4000 tokens | `l4-expert/SKILL.md` | | L5 — autonomous | Self-managed multi-subtask coordination; KB pre-fetch | ~6000 tokens | `l5-autonomous/SKILL.md` | ## Rules - Load exactly one level fragment — the one matching the task's complexity. - If a worker discovers the task exceeds its assigned level (e.g. an L1 task turns out to need analysis), it stops and reports `level-mismatch: needs >=Lx` instead of improvising above its tier. - Higher levels widen the context budget and permitted operations; they never waive a role's `forbidden_actions` or any hard-gated action boundary.
From Arcanada-one/datarim, MIT.
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- 0.642score
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Signals
- Stars
- 16
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Oct 4, 2026 (27 days ago)
- Last release
- Oct 22, 2026 (9 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Arcanada-one/datarim
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Arcanada-one
- 0.642score
human-outcome-reporting
Arcanada-one
Explain human-facing task outcomes with requirements, evidence, honest acceptance status and read-only re-explanation, inside or outside Datarim.
SkillAFreshness: A★ 16Claude Code +9 - 0.640score
finishing-a-development-branch
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Use when implementation is complete and all tests pass.
SkillAFreshness: A★ 16Claude Code +9 - 0.639score
hypothesis-validation
Arcanada-one
Use when a product decision depends on an uncertain claim and needs a bounded, falsifiable check.
SkillAFreshness: A★ 16Claude Code +9 - 0.637score
brainstorming
Arcanada-one
MUST use this before any creative work — features, components, functionality, behavior changes.
SkillAFreshness: A★ 16Claude Code +9 - 0.637score
artifact-context
Arcanada-one
Canonical conventions for native agents generating or editing Datarim artifacts, including stage headers, frontmatter, and exact contract quotations.
SkillAFreshness: A★ 16Claude Code +9 - 0.637score
ai-quality
Arcanada-one
Five pillars of AI-assisted development — decomposition, TDD, architecture-first, focused work, context.
SkillAFreshness: A★ 16Claude Code +9
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Cite this page
fleet skill. Agent Mart. https://agentmart.dev/skills/arcanada-one-fleet (last updated 2026-10-24)