anthropic-os

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Use when a personal or team operating system needs a bounded redesign using Four-C, closed-loop controls, 70/30 allocation, 3B creativity, experiments, and prediction-error learning.

AI & Automation 137 stars 20 forks Updated 1 months ago MIT

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Quality Score: 87/100

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71
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75
Frontmatter 20%
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Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Anthropic OS <skill_contract> <input>One owned work system with its workflow, users, traces, permissions, metrics, constraints, and review horizon.</input> <output>A supervised operating-system redesign with one bounded experiment, control gates, cadence, and rollback.</output> <done>The selected practice has a baseline, hypothesis, owner, metric, guardrail, budget, stop rule, and review receipt.</done> <non_goals>Extreme productivity claims, surveillance, automatic policy evolution, or cadence without supporting context and capability.</non_goals> Redesign one work system as a supervised learning loop. Plasticity means practices may change from evidence; competition means alternatives contend; constraint means attention, time, permissions, and review bandwidth shape the design. Load `references/operating-system-playbook.md` for diagnostics and artifacts. ## Usage Template Provide: system boundary, owner, desired outcome, users, current workflow, local metrics, traces/data, permissions, failure history, review capacity, and horizon. ## Workflow <intake> Define one operating bottleneck and baseline. Run Four-C in order: **Context** (truth/history), **Connections** (systems/accounts), **Capabilities** (skills/SOPs/evals), **Cadence** (triggers/reviews). Do not add automation cadence until the first three can support and verify it. </intake> <unknowns_gate> Treat productivity multipliers, culture narratives, maturity scores, and vendor case claims as hypothes...

Details

Author
Mark393295827
Repository
Mark393295827/third-brain-v7-skills
Created
4 months ago
Last Updated
1 months ago
Language
Python
License
MIT

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