mcorbett51090/RavenClaude - Page 14

design-golden-path

Design a paved road that is the lowest-friction compliant option, with self-service actions and guardrails. Reach for this on a paved-road question.

measure-adoption

Read adoption as teams-on-golden-path ÷ total, name the gap, and segment the un-adopted teams. Reach for this on an adoption question.

quantify-toil

Quantify manual toil and the automation ROI in engineer-hours per year. Reach for this on an automate-or-not question.

set-platform-slos

Define platform SLIs/SLOs and an error budget that gates platform change. Reach for this on a platform-reliability question.

age-delinquency

Age delinquency into buckets and weight collections by collectability, not the total. Reach for this on a delinquency or cash question.

build-noi

Build the EGI-to-NOI bridge from gross potential rent and translate to value at a cap rate. Reach for this on an NOI or valuation question.

diagnose-leasing-funnel

Diagnose the leasing funnel step-by-step and split renewal-vs-acquisition need. Reach for this on a lease-up question.

project-occupancy

Project ending occupancy as a flow of move-ins, move-outs, and renewals against a target. Reach for this on an occupancy question.

quantify-turn-loss

Quantify lost rent during unit turns and frame the work-order backlog as a retention risk. Reach for this on a turn or maintenance question.

build-forecast

Build a stage-weighted, aged forecast with coverage — surface the at-risk deals. Reach for this on a forecast question.

design-quota

Design quota to ramped-rep capacity and read the attainment distribution it implies. Reach for this on a quota or territory question.

diagnose-funnel

Diagnose win-rate and sales-cycle stage-by-stage — find the leaking stage before adding leads. Reach for this on a conversion question.

model-velocity

Model sales velocity across its four levers (deals, win-rate, ACV, cycle) and show the trade-offs. Reach for this on a speed question.

read-pipeline-coverage

Read coverage as a ratio against quota by segment and close-date, not a total pipeline number. Reach for this on a coverage question.

build-judgment-list

Build graded relevance judgments (explicit or click-derived) and an offline harness before tuning. Reach for this when there's no eval.

fix-analyzer

Root-cause a relevance bug in tokenization/analysis/mapping before touching the ranking formula. Reach for this on a no-match or wrong-match bug.

measure-relevance

Compute NDCG, MRR, and precision@k against the judgment list with a baseline. Reach for this before any tuning.

set-latency-budget

Set a p95 latency budget, decompose per-stage latency, and tune relevance within it. Reach for this on a speed/capacity question.

validate-online

Confirm an offline relevance win with an online A/B on CTR/conversion before declaring victory. Reach for this after an offline gain.

decompose-aum-growth

Separate AUM growth into net new flows vs market and compute the organic growth rate. Reach for this on a growth question.

model-fee-revenue

Model tiered-fee revenue and the blended fee, flagging inconsistent application. Reach for this on a fee or revenue question.

segment-client-profitability

Segment clients by revenue net of cost-to-serve and find breakeven AUM — not AUM alone. Reach for this on a client-value question.

size-advisor-capacity

Size advisor capacity in households per advisor and treat over-capacity as a leading retention risk. Reach for this on a capacity question.

track-compliance-cadence

Track the ADV/review/disclosure cadence as an operational schedule — not legal advice. Reach for this on a cadence question.

admissions-funnel-analytics

Veteran playbook for reading the hospice referral-to-admission funnel — the stage definitions tied to observable events, conversion rate, time-to-admission and same-day admits, the declined-referral root-cause taxonomy with an owner for each, average daily…

goals-of-care-conversations

Veteran playbook for the human conversations in hospice referral work — the hospice-vs-palliative distinction, the timing problem, the myth-and-objection responses ('giving up', 'too soon', 'my doctor didn't mention it', 'I want to keep fighting'), and a…

hospice-eligibility-criteria

Veteran playbook for EDUCATING referral sources on hospice eligibility — the Medicare Hospice Benefit structure, the non-disease-specific decline guidelines, the diagnosis-specific LCD criteria, and the PPS/FAST/NYHA scales. Teaches recognition, never…

hospice-sales-compliance

Veteran playbook for hospice referral-marketing compliance — the Anti-Kickback Statute and its hospice-relevant safe harbors, Stark, the beneficiary-inducement CMP, the gift/meal nominal-value discipline, OIG hospice risk areas, truthful-marketing rules, and…

referral-account-planning

Veteran playbook for hospice key-referral-partner work — the partner business-review structure (patient outcomes, access improvements, honest assessment, shared goals, joint plan), the account-plan template (relationship map, whitespace by unit/service line,…

referral-territory-development

Veteran playbook for planning and growing a hospice referral territory — referral-source segmentation, the volume × eligibility-density × relationship-gap targeting model, trigger events, the in-service education program, and the source-type-specific…

codex-reasoning-level-calibration

Calibrate the OpenAI Codex reasoning-level dial before recommending a model upgrade. Maps task type, failure mode, and budget to the right reasoning effort level — ensuring developers exhaust the reasoning dial on the current model before paying for a bigger…

coding-agent-task-scoping

Scope an autonomous AI coding agent task so it is well-bounded, recoverable, and matched to the right model tier before it runs. Reach for this skill before any long, unsupervised, or multi-step agentic run — a poorly scoped task on a frontier model is both…

context-window-planning

Estimate a coding task's context demand and match it to a model tier whose window is sufficient, without quoting specific token counts that churn monthly. Reach for this skill when the task involves large codebases, long conversation histories, or multi-file…

copilot-surface-audit

Audit a developer's GitHub Copilot configuration across all surfaces (completions, chat IDE, coding agent, cloud agent, mobile) to identify model gaps, plan mismatches, and org-policy constraints. Reach for this skill before recommending a Copilot model —…

grok-model-retirement-check

Check whether a Grok model ID in active use has been retired or silently redirected, with special attention to billing consequences. Reach for this skill before any Grok recommendation and whenever a developer mentions a specific Grok model ID — retirement…

lineup-freshness-sweep

Check the ai-coding-model-guidance knowledge bank for stale entries and produce a prioritized refresh list. Reach for this skill when the knowledge bank's retrieval date is more than 4 weeks old, when a consumer reports a model discrepancy, or on the monthly…

multi-tool-model-comparison

Compare model options across GitHub Copilot, OpenAI Codex, and xAI Grok for a single task when the developer has not committed to one ecosystem. Produces a structured side-by-side that surfaces availability, tier mapping, and key tradeoffs without naming…

org-policy-model-rules-audit

Audit an organization's AI coding tool model-access policies across GitHub Copilot Business/Enterprise, OpenAI org-level controls, and xAI API governance. Reach for this skill when an enterprise team reports unexpected model access, when a compliance review…

dbt-ci-governance

Design a dbt CI pipeline that gates every pull request: compile, run, test, and check source freshness in an isolated developer schema; enforce model contracts on published marts; run slim CI on changed models only using dbt state comparison; and block merges…

incremental-model-patterns

Build reliable incremental dbt models: choose the right unique_key and strategy (append, merge, delete+insert), handle late-arriving data and out-of-order events, write a safe is_incremental filter, and design the full-refresh fallback — so the model is…