These rules apply to all Java code in the repository (including Spring, Jakarta EE, and standalone apps) and aim to prevent common security risks through disciplined use of input validation, safe APIs, and secure coding patterns.
Honey — write less code and say less about it. A reflexive minimal-code (YAGNI/stdlib-first) and terse-prose discipline that cuts token cost while keeping code, commands, and safety-critical paths exact.
A set of Chinese-language rules for an agent that treats the user as a collaborative partner. It requires checking information before acting, verifying changes, showing evidence, and keeping responses focused.
PI Cognitive AI. Trigger: $pi/coding/dev/code/architecture/API/refactor/debug/bug/error/exception/crash/timeout/performance/optimization/test/compile/git/release/verify/review/CR/product/requirements/ops/growth/design/team/support, or deep/2+ failures/looping/stuck/giving-up/retry/nevermind.
This repository contains Claude Code skills for working with Harness.io CI/CD platform. All skills use the Harness MCP v2 server's consolidated tool interface.
Cursor rule "cursorrules" from Bike4Mind/bike4mind, covering cursor rules for bike4mind/lumina5 project, 🚫 never run servers or clients, 🎯 development workflow, 🔧 allowed terminal commands and 📁 project structure awareness.
Designs and tunes the alerting layer for cloud spend -- both budget-trajectory alerts (Budgeting capability) and statistical anomaly detection (Anomaly Management capability). Optimizes for precision and time-to-action, not coverage.
FOCUS-first analyst for cloud billing data across AWS, Azure, GCP, OCI, and SaaS. Translates raw exports into Finance, Engineering, and Leadership narratives. Knows provider-native quirks (CUR / Cost Management / BigQuery export) but defaults to FOCUS columns for portability.
Cross-cloud commitment portfolio specialist. Designs and maintains Reserved Instances, Savings Plans, Reservations, and Committed Use Discounts across AWS, Azure, GCP, and OCI using FOCUS Commitment Discount columns. Maximizes effective discount without bleeding on unused commitment.
An architecture guide for handling streamed responses from a large language model, especially when an agent can call tools during its repeated work cycle.