Results for “software-development-lifecycle”

Introduces Prompt-Driven Development (PDD), a methodology that uses version-controlled natural-language prompts as the source of truth for generating code, tests, and documentation, with a practical adoption roadmap.

Enforces system design, project structure, dependency management, error handling, testing, and documentation standards at principal-engineer level.

Manage software complexity through deep modules, information hiding, and strategic programming, with a scoring framework for evaluating design quality.

Automates the entire software development lifecycle from PRD to production with zero human intervention, using multi-agent orchestration and memory systems.

Routes software engineering tasks across backend, frontend, AI/ML, mobile, DevOps, and infrastructure sub-skills, applying security and ethics gates.

Turns a brief product idea into working, verified code by orchestrating requirements analysis, planning, parallel implementation, QA, and multi-perspective validation.

Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.

Guides a structured feature-development workflow: explore the codebase with subagents, draft a plan for approval, implement step by step, verify with parallel checks, and record conventions.

Structures a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.

Creates structured specifications before writing code to clarify requirements, surface assumptions, and define success criteria, reducing rework and miscommunication.

Automates the full lifecycle of SSL/TLS certificates—requesting, issuing, deploying, monitoring, renewing, and revoking—using Python and ACME protocol tools.

Full autonomous execution from idea to working code

Mines git history and codebase to reconstruct the development lifecycle, identify sequential and parallel patterns, and produce actionable recommendations for future iterations.

Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.

Automates multi-language software builds with Makefiles, dependency management, testing, packaging, and CI/CD integration.

Training Data Lifecycle Management (v5.4.2)

Full token lifecycle from creation through bonding curve trading, graduation detection, AMM migration, fee collection, and volume tracking on Solana using PumpSdk and OnlinePumpSdk.

Builds, configures, and debugs enterprise Java applications with Spring Boot 3.x, microservices, or reactive programming, including WebFlux endpoints, JPA optimization, and Spring Security with OAuth2/JWT.

Develops and debugs Apex code, builds Lightning Web Components, optimizes SOQL queries, and manages Salesforce DX deployments with CI/CD pipelines.

Automatically detects project state and runs an 8-phase pipeline to plan, build, test, lint, fix bugs, and document code across multiple AI coding agents.

service-development

Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.

コード品質改善の全サイクルを実行するスキル。品質スイープ→コードレビュー→Issue化→自律実装ループ→完了通知の5フェーズ。ユーザーが「dev-cycle」「開発サイクル」「品質改善」「自律ループ」などと言った時、または /dev-cycle を呼び出した時にトリガーする。

Orchestrates end-to-end software development from scaffolding to deployment, covering frontend, backend, database, testing, and CI/CD workflows.

Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.