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tangram-buildit
tangram-buildit contient 48 skills collectées depuis JeroTan, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
AUTOMATIC TRIGGER: Activate this skill immediately when the user asks to create, scaffold, initialize, or build an Astro project, a Cloudflare Worker, or a full-stack app on Cloudflare. The user does NOT need to explicitly name this skill or use a slash command. Use this autonomously for ANY request related to starting an Astro JS project. Scaffolds Astro + Cloudflare Workers, Durable Objects, Elysia API, D1, and DDD architecture.
Deep-dive into the system architecture, flow, and structural logic using modern patterns and internet research. Codex repo skill for the legacy /tangram:design-architecture workflow.
Deep-dive into hosting, CI/CD pipelines, and environment management. Codex repo skill for the legacy /tangram:design-deployment workflow.
Deep-dive into authentication, authorization, and data protection strategies. Codex repo skill for the legacy /tangram:design-security workflow.
Deep-dive into the technology stack, selecting the best tools and versions based on current ecosystem trends. Codex repo skill for the legacy /tangram:design-stack workflow.
Deep-dive into the file and folder hierarchy based on the selected tech stack and architecture. Codex repo skill for the legacy /tangram:design-structure workflow.
Deep-dive into UI/UX design patterns across platforms (Web, Mobile, Desktop, CLI), incorporating user-provided brand guidelines and design preferences. Codex repo skill for the legacy /tangram:design-ui workflow.
Deep-dive into the project's feasibility, analyzing implementation options, technical constraints, risks, and validation strategies. Codex repo skill for the legacy /tangram:explore-feasibility workflow.
Act as a Software System Analyst to proactively elicit, structure, and validate a comprehensive feature backlog using structured analysis modeling, including a sprint-ready implementation checklist. Codex repo skill for the legacy /tangram:explore-feature-backlog workflow.
Define high-level project goals and success criteria based on industry success factors like project dynamism, stakeholder alignment, and value delivery. Codex repo skill for the legacy /tangram:explore-goal workflow.
Analyze the technical starting point: identify legacy constraints for existing code or establish 'Clean Slate' standards for new projects. Codex repo skill for the legacy /tangram:explore-legacy workflow.
Strategize the project's digital revenue model using archetypes like Subscription, Consumption, Data-driven, and Platform Ecosystems. Codex repo skill for the legacy /tangram:explore-monetization workflow.
Define the functional and non-functional business requirements, mapping user needs to technical capabilities. Codex repo skill for the legacy /tangram:explore-requirements workflow.
Tangram command /tangram:agenda. Validate feature requirements and set the agenda before planning. Acts as a 'Unit Test for English'.
Tangram command /tangram:align. Synchronize the project's codebase content with the AI's documentation and archive records.
Tangram command /tangram:commit. Handle Git operations: initialize, branch, commit, and push changes to the remote repository.
Tangram command /tangram:complete. Finalize a feature workspace, synthesize the final execution log, and safely move the directory to the archive.
Tangram command /tangram:conditioning. Run automated QA, including type checking, linters, and test suites to verify project stability.
Tangram command /tangram:constitution. Establish and update the non-negotiable project constitution and core principles.
Tangram command /tangram:debug. Diagnose and repair errors within a feature workspace using sequential debug logs and specific task referencing.
Tangram command /tangram:define. Start the Preconstruct phase by defining the core concept of the app, or update an existing definition.
Tangram command /tangram:design. Architect or update the solution across 6 pillars, prioritizing User Prompt, Project Knowledge, and Project Studies over AI defaults.
Tangram command /tangram:execute. Execute technical tasks within a feature workspace using a subagent-driven loop and user-defined pacing.
Tangram command /tangram:explore. Expand the core concept by drafting the feasibility, goals, business requirements, feature backlog, legacy context, and monetization strategy.
Tangram command /tangram:help. Displays help, explains the workflow, and suggests the next logical action.
Tangram command /tangram:plan. Initialize or update a feature plan with mandatory headings, detailed task summaries, and a subagent-driven context scan.
Tangram command /tangram:revert. Discard broken changes and rollback to the last stable Git commit.
Tangram command /tangram:setup. Initialize the project environment and folder hierarchy based on the approved Design pillars and templated setup knowledge.
Tangram command /tangram:start. Entry point and onboarding guide. Displays command steps or fast-tracks into project definition.
Dispatcher for the Tangram Build workflow. Use when the user mentions /tangram:* commands, Tangram phases, or asks how to run the Tangram process in Codex.
Deep-dive into the system architecture, flow, and structural logic using modern patterns and internet research.
Deep-dive into hosting, CI/CD pipelines, and environment management.
Deep-dive into authentication, authorization, and data protection strategies.
Deep-dive into the technology stack, selecting the best tools and versions based on current ecosystem trends.
Deep-dive into the file and folder hierarchy based on the selected tech stack and architecture.
Deep-dive into UI/UX design patterns across platforms (Web, Mobile, Desktop, CLI), incorporating user-provided brand guidelines and design preferences.
Deep-dive into the project's feasibility, analyzing implementation options, technical constraints, risks, and validation strategies.
Act as a Software System Analyst to proactively elicit, structure, and validate a comprehensive feature backlog using structured analysis modeling, including a sprint-ready implementation checklist.
Define high-level project goals and success criteria based on industry success factors like project dynamism, stakeholder alignment, and value delivery.
Analyze the technical starting point: identify legacy constraints for existing code or establish 'Clean Slate' standards for new projects.