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Found 78 Skills
Refine text, screenshots, hand-drawn sketches, "Little Black" illustrations, or existing HTML relationship diagrams into minimal wireframes with teaching semantics; for relationship-dense diagrams, first write executable relationship structure specifications using Mermaid, then implement them as accessible, responsive inline SVGs, and simultaneously output reusable wireframe generation prompts. Used for comparison diagrams, architecture diagrams, flowcharts, interface or API diagrams, Agent collaboration diagrams, and state relationship diagrams in HTML Presentations, course pages, and web cards; activated when users request "semantic wireframes", "wireframe illustrations", "convert illustrations to SVG", "generate wireframe prompts", "draw GUI/LUI, Agent, task, or system relationships in cards", or require following the STYLE_DNA of course-design for teaching illustrations. Not applicable to photos, decorative posters, complex data charts, emotional hand-drawn illustrations, or direct editing of binary PPTX files.
Saleor backend internals and behavior reference. Covers discount precedence, order-level vs line-level discount stacking, manual/voucher/promotion interactions, and denormalized field semantics. Use when working with Saleor discounts, building Dashboard discount UI, or debugging discount application order.
Use when the user asks to "design an early access program", "set up a waitlist and beta stages", or "define beta graduation criteria"; produces a waitlist→concept→alpha→beta→GA stage ladder with per-stage purpose and opt-in semantics, quantified graduation criteria per stage (labeled Estimated), a cohort-gating and invite-throttling plan, tester recruitment with launch-day social-proof prep, a feedback-loop spec where every status change notifies its subscribers, and a referral-loop mechanism spec (invite codes, anti-abuse). Not for waitlist acquisition strategy or the capture-flow spec — use list-growth-designer; not for the canonical stage record — use launch-registry. waitlist/内测阶梯/抢先体验/毕业标准/反馈闭环
Use with root `twg` for Confluence content, spaces, hierarchy, authoring, editing, comments, versions, permissions, exports, and CQL. Applies Confluence semantics and safe write rules.
Create an accessible host-site visual theme and controls around Peekling without modifying character packs or runtime semantics. Use for page styling, not character skins.
AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.
Design or change REA investigation tools, CLI/MCP contracts, provider capabilities, and Evidence semantics.
In-depth English Word Mastery Tool. Deconstructs a single English word to reveal its core semantics and insightful essence. Utilize this tool when users request an explanation or mastery of a specific English word.
Use when generating, testing, submitting, reviewing, or publishing governed project semantic candidates from AE/TE project asset packages. This skill owns progressive asset-scope consent, recommendation quality gates, evidence authority, topic-domain grouping, candidate JSON generation, CLI closed-loop validation, and frontend review acceptance. Do not use it for ordinary analysis questions that only consume already published semantics.
Use when the user needs to understand, diagnose, or prevent Protheus record locks and deadlocks -- covering RecLock/MsUnlock/SoftLock/LockByName semantics, BeginTran/EndTran transaction scoping, lock leak and deadlock diagnostics (TopMemoStatus, MonitorActiveLocks, DBAccess monitor, SQL Server/PostgreSQL/Oracle lock queries), and prevention patterns (BEGIN SEQUENCE/RECOVER, lock ordering). Also triggers on Portuguese phrasing like "registro travado", "trava de registro", "deadlock", "erro de lock", "travamento no Protheus", "quem esta travando o registro", or "RecLock nao libera".
Cross-chain bridging, swapping, and "bridge+call" via Relay through the OpenFinance backend. Use whenever the user wants to move tokens between chains or execute a destination-chain transaction funded from another chain. Triggers: "bridge X from Y to Z", "move my USDC to Base / Arbitrum / Optimism / Polygon / Solana", "swap ETH for USDC on Base", "cross-chain swap", "bridge and call", "how do I get to Solana / back from Solana", "my USDC is stuck on Solana", EVM-to-EVM, EVM-to-Solana, Solana-to-EVM, Bitcoin bridge, gas topup on destination, native-token sentinel 0x0, relay quote/preview/execute flow, poll intent status. Covers POST /agent/relay/quote, POST /agent/relay/execute, GET /agent/relay/status. Includes the chainId cheatsheet (1/137/8453/10/42161/... and Solana 792703809 specifically), tradeType semantics (EXACT_INPUT / EXACT_OUTPUT / EXPECTED_OUTPUT), why topupGas is auto-disabled on Solana routes, the Solana wallet delegation requirement for Solana-origin execute, and bridge+call payloads (txs array). Use together with openfin-setup (API key check) and openfin-troubleshooting (Blockhash not found, Custom:101, 412 delegation).
Augment a Wren project with business context that DB schema cannot carry — enum value meanings, units (USD vs cents, ms vs sec), NULL semantics, magic sentinels (-1 = unknown), soft-delete default filters, business synonyms, time-grain / TZ conventions, cross-system identifiers, currency rules, canonical-table preferences, AND named aggregation metrics (ARR, churn, DAU, WAU, NRR) proposed as cubes. Runs in one of two modes selected at session start: `grill` (one question at a time, user-driven) or `auto-pilot` (agent infers and applies, escalates only on conflicts and high-blast-radius additions like new cubes / views / relationships). Reads everything under <project>/raw/ (PDFs, glossaries, handbooks, code, data dictionaries) and optionally samples low-cardinality columns from the live DB (grill mode), compares against the current MDL / cubes / instructions.md / queries.yml / memory pairs, then fills gaps via the ten-category gap catalog and the cube proposal flow. Confirmed findings are written back to the right sink. Use when: user says 'enrich context', 'augment my project', 'grill me on this project', 'auto-fill my context', 'agent doesn't understand our docs / enum values / units / null meanings', 'business context is missing', 'what does status=A mean', 'is this amount in USD or cents', 'we keep getting wrong aggregations', 'add cubes for ARR / DAU / churn', 'we have a handbook / glossary / data dictionary the agent should know'; or after generating an MDL and noticing the agent lacks business semantics.