.claude/skills/loop-engineeringRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Run bounded, evidence-backed work loops
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.claude/skills/loop-engineeringRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/loop-engineeringRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/loop-engineeringRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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sha256:461ca83ecaf26c3989f54ca8ad99e980f689bd34e7382b5cc1a15ecab346b3ef.gitignoreagents/openai.yamlINSTALL.mdLICENSEREADME.mdreferences/accessibility-loop.mdreferences/adaptive-task-design.mdreferences/article-loop.mdreferences/audience-value-loop.mdreferences/editorial-loop.mdreferences/engineering-loop.mdreferences/examples.mdreferences/foundations.mdreferences/freshness-portability.mdreferences/orchestration.mdreferences/product-ux-loop.mdreferences/prompt-generation.mdreferences/research-loop.mdreferences/source-integrity.mdreferences/strategy-loop.mdreferences/ui-visual-loop.mdreferences/verification.mdscripts/check_blog_slop.pyscripts/check_prompt_loop_contract.pyscripts/complete_handoff.pyscripts/create_handoff.pyscripts/init_loop_state.pyscripts/validate_claim_ledger.pyscripts/validate_handoff.pySKILL.mdInitial release of loop-engineering skill - Adds an adaptive, evidence-backed feedback loop for a wide range of tasks (coding, product, UX, research, and more). - Activates only on explicit user invocation or when set as default by instruction. - Introduces a concise "success card" to capture task essentials before work begins. - Defines Light, Standard, and Deep loop intensities to match task complexity. - Provides clear criteria for specialist involvement, handoffs, and check ownership. - Includes task-specific routing to relevant engineering, research, or content reference guides. - Ensures state and evidence capture remain proportional to work scale.