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Found 1,660 Skills
Supercast integration. Manage Persons, Organizations, Deals, Leads, Projects, Pipelines and more. Use when the user wants to interact with Supercast data.
Infrastructure as code with OpenTofu (open-source Terraform fork) and Pulumi. Covers OpenTofu HCL syntax, providers, resources, data sources, modules, state management with remote backends, workspaces, importing existing infrastructure, plan/apply workflow, variable management, output values, provisioners, and state encryption (OpenTofu-exclusive). Includes Pulumi TypeScript/Python SDKs, stack management, component resources, config/secrets, state backends, policy as code, and automation API. Common patterns for multi-environment setups, module composition, CI/CD integration, drift detection, and secret management. Use when writing or reviewing HCL configurations, managing cloud infrastructure state, migrating from Terraform to OpenTofu, building Pulumi programs in TypeScript or Python, setting up multi-environment IaC pipelines, or implementing state encryption.
Configurable pipeline orchestrator for sequencing stages
Bouncer integration. Manage Organizations, Leads, Projects, Pipelines, Users, Goals and more. Use when the user wants to interact with Bouncer data.
Spec-driven development pipeline with 6 phases: Explore, Requirements, Design, Task Plan, Implementation, Review. Enforces human approval gates between phases. Use when user wants structured feature development, spec-first approach, or says "I want to add feature X", "new feature", "implement", "build". Keywords: spec, requirements, design document, TDD plan, task plan, implementation, code review, pipeline, approval gates, WHEN/SHALL.
Set up and maintain hk git hook manager in any repository. Use when adding pre-commit hooks, configuring linters, setting up code quality automation, working with hk.pkl, or maintaining existing hook configurations. Triggers on tasks involving hk, git hooks, pre-commit checks, commit-msg validation, or linting pipelines.
Professional essay writing pipeline — from scattered notes to polished prose in six guided steps (brief → outline → draft → revise → review → polish)
Spec-driven development pipeline orchestrator. Given a URL or text description, automatically generates specs, implements code, runs codex review, applies security gate, executes tests, syncs docs, and notifies via Telegram. Triggers on: /start-workflow, start workflow, build feature, implement feature, spec-driven, start pipeline.
Generate/create/scaffold Jenkinsfile — declarative, scripted, shared library, CI/CD pipelines.
Solve CRM integration. Manage Organizations, Pipelines, Users, Goals, Filters. Use when the user wants to interact with Solve CRM data.
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment. Part of the context engineering skill suite — also activates when the user mentions "context engineering" or "context-engineering" in the context of evaluating LLM output quality.
Analyze Huawei Ascend NPU profiling data to discover hidden performance anomalies and produce a detailed model architecture report reverse-engineered from profiling. Trigger on Ascend profiling traces, NPU bottlenecks, device idle gaps, host-device issues, kernel_details.csv / trace_view.json / op_summary / communication.json. Also trigger on "profiling", "step time", "device bubble", "underfeed", "host bound", "device bound", "AICPU", "wait anchor", "kernel gap", "Ascend performance", "model architecture", "layer structure", "forward pass", "model structure". Runs anomaly discovery (bubble detection, wait-anchor, AICPU exposure) alongside model architecture analysis (layer classification, per-layer sub-structure, communication pipeline). Outputs a separate Markdown architecture report alongside anomaly analysis.