Report a UK company's HMRC EMI/CSOP limit usage. Use when asked how much EMI allowance is left, whether the company is near the £6m EMI limit, who is close to or over their £250k individual limit, CSOP headroom, or whether a planned grant fits.

Fetch the vesting schedule for ONE specific grant or holder — options (ISO/NSO), RSUs, SARs, or CBUs. Use for "how much has [name] vested", "when does [name]'s cliff hit", "vesting progress for [name]", cliff dates, settlement, or unvested shares. NOT for portfolio-level / all-employees aggregate vesting.

META-DISCOVERY ONLY — answers the question "what cap-table tools or commands exist?" when the user is lost about what's available. NEVER use this skill for any request that names a cap-table topic (stakeholders, grants, vesting, SAFEs, notes, valuations, ownership, waterfall, financing, exposure, etc.) — those are always direct data requests, even if the user phrases them vaguely. The matching specialist skill wins every time over this one.

Calculate SAFE and convertible note conversion into equity at a financing close. Use when asked about SAFE conversion, note conversion, conversion shares, conversion math, how instruments convert in a priced round, or what happens to outstanding SAFEs and notes when a new round closes. Do NOT use for exit/sale/acquisition payouts at a sale price — those are waterfall scenarios, prefer a waterfall-scenarios skill.

Carta Total Compensation scorecard — shows how a corporation's employees compare to market. Two lenses: corporation-level rollup (band distribution — what % of employees are below / at / above market) and per-employee scorecard (each employee's compa-ratio + percentile + market band). Triggered by queries like: "scorecard", "how is our comp positioned", "who's below market", "which employees are below P50", "show me the roster", "are we paying market", "comp posture", "employee compa-ratios", "is [employee] underpaid", "pay adjustment analysis", "our internal pay bands vs benchmarks", "score these employees". Operates on the corporation's already-ingested CTC roster (HRIS-synced employees). Do NOT use for market-rate lookups for a role (use carta-compensation-benchmarks). Do NOT use for job classification (use carta-compensation-rolematcher). Do NOT use for fund performance scorecards or portfolio-level metrics.

Classify a job title or description into the CTC taxonomy (job area, focus, level, track). Use when the user wants to know how a role is categorized or mapped to the taxonomy structure — not to fetch salary, equity, or benchmark numbers. Do NOT use when the user is asking for "market rates", "benchmark data", "compensation ranges", "what does X pay", or "show me benchmarks" — use carta-compensation-benchmarks for that. Do NOT use when the user is asking how their own company compares to market — e.g. "our internal pay bands vs Carta benchmarks", "compare our pay bands against the 25th/50th/75th percentile", "who at our company is below market" — that's roster-level positioning, use carta-compensation-scorecard. Do NOT use for general career advice or job search queries unrelated to compensation benchmarking.

Retrieves Carta Total Compensation market benchmarks (salary, equity, total cash) for a role. Output to chat or CSV. Market benchmarks are triggered by queries like: "sales benchmarks", "comp benchmarks", "market rate", "what does a [role] pay", "put benchmarks in a CSV", "get benchmarks", "get carta's market benchmarks", "show me benchmarks for [role]", "compensation ranges for [role]", "p25/p50/p75 for [role]". Do NOT use for job classification or role mapping — use carta-compensation-rolematcher for that. Do NOT use for "how is OUR company positioned vs market", "who at our company is below market", or "our internal pay bands vs benchmarks" — those are roster-level positioning, use carta-compensation-scorecard. Do NOT use for fund performance benchmarks (use carta-performance-benchmarks) or portfolio structural metrics like SAFE terms and option pool sizes (use carta-market-benchmarks).

Serves a live, clickable CTC console — builds one corporation's Carta Total Compensation data into a React app on localhost, where you filter by job area, compare peer groups and explore the scorecard yourself. CLAUDE CODE ONLY; it serves a local web app. Use it when the ask is to run an app, launch a console, or explore the data live, rather than to be told a figure. Invoke with a corporation name or id, e.g. "launch a comp dashboard for Acme". Its Benchmarks and Scorecard tabs are surfaces inside the app, not separately routable. Route by deliverable, not subject — an answer, CSV or figure to quote belongs to a sibling even when the wording overlaps: use carta-compensation-benchmarks for a role's market rate, and carta-compensation-scorecard for roster positioning, compa-ratios or who is below market. So "what are our comp benchmarks" is a sibling even though it names them, while "open our comp benchmarks so I can filter them" is this skill. NOT for a single role lookup. READ-ONLY.

Configure and interpret the Phoenix plugin for Harbor agent evaluations. Use when adding `arize-phoenix` to Harbor jobs, choosing ATIF tracing, mapping Harbor tasks and rewards to Phoenix experiments, comparing agents or models, resuming jobs, or troubleshooting Harbor records in Phoenix.

Build and run evaluators for AI/LLM applications using Phoenix.

Find out what is going wrong in LLM or agent traffic by reading sampled Phoenix traces, spans, or sessions, writing free-form notes (open coding), then grouping the notes into a few narrow annotations, one per failure dimension with a small label set and counts, that pick eval targets and fix priorities (axial coding). Use for "what's going wrong with this agent", "I just instrumented my app, where do I start", "review these traces", "the chatbot keeps losing context", "what kinds of mistakes is the model making", "what categories of failures do we have", "what should I build evals for", "how do I prioritize fixes", "group these notes", "MECE breakdown" — or any framing that needs observations or categories grounded in real traces rather than invented top-down, even without naming the technique.

Design system conventions for the Phoenix frontend — layout, dialogs, error display, BEM CSS class naming, and CSS design tokens. Use when building UI, naming CSS classes, creating or consuming tokens, handling errors, or designing dialog interactions in js/app/src/.

Scaffold a new plugin and prepare it for distribution. WHEN: 'create a new plugin', 'scaffold a new plugin'

Review skill PRs with structured severity-rated feedback covering token budgets, routing conflicts, and repo conventions. WHEN: "review skill", "review skill PR", "review skill changes", "check skill quality", "skill PR feedback".

Analyze a GitHub Actions integration test run and produce a skill invocation report with failure root-cause issues. TRIGGERS: analyze test run, skill invocation rate, test run report, compare test runs, skill invocation summary, test failure analysis, run report, test results, action run report

Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.

Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.

Development workflows for the playwright-cli repository. Use when the user asks about rolling dependencies, releasing, or other repo maintenance tasks.

Deprecated alias. This skill was renamed to `deepline-research`. Use when a user or script still invokes `/deepline-pre-research`: immediately load and follow the `deepline-research` skill instead. Triggers: pre-research, source discovery, provider strategy, research data sources, ScrapeCreators, X/Twitter data, Reddit comments, public and private datasets, CRM data, workflow data, custom language, messaging language, pain language.

Use this skill when building, enriching, auditing, or uploading B2B paid ads audiences to Google Customer Match, Meta/Facebook Custom Audiences, or LinkedIn Matched Audiences. Triggers on phrases like '/deepline-ads-audience', '/deepline-ads-audiences', 'upload this audience', 'create custom audiences', 'personal email hashes', 'increase Facebook match rate', 'Google ads audience', 'Meta audience', 'FB audience', or any workflow that turns CRM/customer/contact data into paid ads upload lists. Skip for outbound prospecting sequences, cold email, or pure campaign copywriting.