Results for “togaf”

Expert Terraform/OpenTofu specialist mastering advanced IaC automation, state management, and enterprise infrastructure patterns. Handles complex module design, multi-cloud deployments, GitOps workflows, policy as code, and CI/CD integration. Covers migration strategies, security best practices, and modern IaC ecosystems. Use PROACTIVELY for advanced IaC, state management, or infrastructure automation.

Provisioning infrastructure via cloud IaC (Terraform/OpenTofu/CloudFormation/Pulumi) and local dev environments (Docker Compose, env vars). Use for IaC design or multi-cloud provisioning.

Infrastructure-as-code with Terraform/OpenTofu — resources, state, modules, plan/apply. Use when writing `.tf` files, managing cloud infrastructure with Terraform or OpenTofu, handling state and backends, or reviewing IaC code.

Create, validate, and consume Google's Open Knowledge Format (OKF) bundles — YAML-frontmatter Markdown files with type / title / description / resource / tags / timestamp fields for portable, interoperable AI-agent knowledge sharing. OKF formalizes the LLM-Wiki pattern into a vendor-neutral open specification so any producer can write and any agent can consume without translation. Routes: use `llm-wiki` for raw source capture + vault maintenance, `obsidian` for Obsidian-vault workflows, `graphify` for durable committed graphs, `scrapling` for web-content extraction into OKF docs. Triggers on: okf, open knowledge format, knowledge bundle, okf document, llm wiki standard, knowledge atom, agent context format, okf frontmatter, okf bundle, knowledge interoperability.

Orchestrate token-heavy research, coding, and testing by delegating bounded tasks to cheaper subagents while reserving Claude Fable for architecture, synthesis, and final review.

Accelerate pandas workflows with GPU DataFrames using cuDF and dask-cuDF for ETL, joins, groupby, and large-scale data processing.

Enforce code quality with Ruff in a controlled, iterative workflow: run checks with optional scope and rule overrides, apply safe and unsafe autofixes, review diffs, and resolve remaining findings.

Integrate a HuggingFace computer vision model into the NVIDIA TAO Toolkit ecosystem, covering the full pipeline from prerequisites to container testing.

Automate time tracking workflows in Toggl Track by creating time entries, managing projects, clients, tags, and workspaces through natural language commands.

Recovers transform chains, hidden media payloads, mobile signing paths, and local trust boundaries in CTF challenges involving crypto, encoding, steganography, APK, IPA, and mobile trust-boundary analysis.

Guided interview to Gold Code (100% AI-Readiness). Use when helping users improve their .faf file through questions. Leverages Claude Code's AskUserQuestion for seamless integration. Just type /faf-go and answer questions till done.

Create waf rule creator operations. Auto-activating skill for Security Advanced. Triggers on: waf rule creator, waf rule creator Part of the Security Advanced skill category. Use when working with waf rule creator functionality. Trigger with phrases like "waf rule creator", "waf creator", "waf".

Convert single-channel TIF directories to pyramidal OME-TIFF with SubIFDs

Guides users through an interactive interview to complete their .faf file and reach a 100% AI-readiness score, using Claude Code's AskUserQuestion tool.

Builds and governs design systems with a three-layer token architecture, component specs, and design-to-code handoff, including slide generation.

Set up, run, and contribute to TokHub (github.com/yaojingang/TokHub) — an open-source AI API relay monitoring, recommendation, and OpenAI-compatible gateway system with L1/L2/L3 channel health probing, usage metering, alerts, audit, and Docker self-hosting. Use when the user asks about TokHub, "AI API 中转站监控", cloning/running the Go + React monorepo (TOKHUB_ROLE, sqlc, TimescaleDB, NATS), the L1/L2/L3 probe algorithm, the OpenAI-compatible `/gateway/v1/*` endpoint, or contributing a PR to TokHub. Do not use for connecting a running agent to a live TokHub instance's own API (that is covered by the project's own bundled `agent-skills/tokhub` skill inside the TokHub repo, not this one).

Fetches real-time London transit data from the TfL API, including Tube and bus arrivals, line status, disruptions, journey planning, and route information.

Drafts Terms of Service and Privacy Policy documents by auditing a codebase and marketing site to infer company details, then asking only for missing information.

Generate project-specific agent teams during workflow Discovery. Trigger: 'set up a team', 'create agents for', or auto-triggered by ijfw-workflow deep mode after Discovery.

Generate faq generator operations. Auto-activating skill for Technical Documentation. Triggers on: faq generator, faq generator Part of the Technical Documentation skill category. Use when working with faq generator functionality. Trigger with phrases like "faq generator", "faq generator", "faq".

Imported skill tektur_ofl from anthropic

GOF Singleton

Generates a complete, production-ready SaaS project boilerplate with Next.js 14+, TypeScript, Tailwind CSS, shadcn/ui, Drizzle ORM, and Stripe, including authentication, database schemas, billing integration, API routes, and a working dashboard.

Use when the user explicitly enters TURBO, mode TURBO, enable TURBO, or TURBO for this task, and Codex should optimize for maximum quality without normal token-cost restraint.

Analyzes AWS WAF web ACLs, rules, IP sets, and logging configurations, and retrieves blocked/allowed request metrics from CloudWatch.

Session handoff generation and loading. Trigger: session end, context full, /handoff

Game audio generation agent. Produces code (Python/JS/TS/Shell) for SFX, BGM, Voice, Ambient, and UI sounds using ElevenLabs/Stable Audio/MusicGen/Suno/OpenAI TTS/JSFXR. Handles LUFS normalization and middleware integration.

Automates static analysis of Android APK/AAB files using MobSF to identify hardcoded secrets, insecure permissions, vulnerable components, and weak cryptography for pre-deployment security assessments or CI/CD integration.

Guides through a structured interview to fill missing fields in a .faf context file, aiming for a 100% completeness score.

Use in TURBO mode when Codex should compare top current solutions before choosing architecture, UI components, 3D stack, mobile stack, SEO/PPC strategy, or programming patterns.

GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.

Analyzes DeFi protocol risk before deposit, decomposes headline APY into sustainable yield, emissions, and drag factors, and flags common rug-risk patterns in tokenomics, liquidity, and governance. Advisory only—no wallet access, no private key handling, no transaction signing, no on-chain execution.

Analyze WAF logs from ModSecurity, AWS WAF, or Cloudflare to detect SQL injection attack campaigns, classify injection types, and generate incident reports with OWASP classification.

Provides a strategic advisory persona based on A.G. Lafley, applying the Strategy Choice Cascade and consumer-centric frameworks to business decisions.

Guided interview to Gold Code (100% AI-Readiness). Use when helping users improve their .faf file through questions. Leverages Claude Code's AskUserQuestion for seamless integration. Just type /faf-go