skills/content-style-guide/SKILL.md
Create a content style guide / voice & tone guide so everyone writes consistently. Use when asked to write a content style guide, a voice and tone guide, editorial guidelines, or UX-writing standards. Produces a usable guide — voice principles with do/don't examples, tone-by-context, mechanics (grammar, capitalisation, formatting), terminology/word list, and accessibility/inclusivity rules — that a team can actually apply.
npx skillsauth add mohitagw15856/pm-claude-skills content-style-guideInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
A style guide makes a brand sound like one voice no matter who's writing. The useful ones aren't 50 pages of rules — they're voice principles with examples, tone guidance by context, and a word list people reach for daily. This skill produces a guide a team will actually use, grounded in concrete do/don't examples rather than abstract adjectives.
Given "a style guide for our fintech app", produce the full guide anyway — infer voice principles and terminology from the brand and audience, and mark inferred choices for the team to confirm. Make every principle show an example. Never hand back abstract values with no examples.
Ask for these only if they aren't already provided (else infer and label):
1. Voice — who we are — 3–4 voice principles, each as "We are X, not Y" with a before/after example.
2. Tone — how we adapt — how the voice flexes by context (e.g. celebratory on success, calm and brief on errors, warm in onboarding), with a small table: situation → tone → example.
3. Mechanics — the rules that come up constantly: capitalisation (sentence vs. title case), punctuation (Oxford comma, exclamation marks), numbers/dates/currency, contractions, US/UK spelling, formatting (headings, lists, links, buttons).
4. Word list — a do/don't terminology table: preferred term, what to avoid, and why (product terms, jargon to drop, words that are on/off-brand).
5. Inclusivity & accessibility — inclusive language, reading level, plain-language rules, and accessibility (link text, alt text, no "click here", no directional-only instructions).
6. Quick reference — a one-screen cheat sheet of the most-used rules.
Mark inferred voice/terminology choices (confirm with the team).
Content design practice — example-driven voice principles, context-based tone, editorial mechanics, terminology management, and inclusive/accessible language.
business
Analyze why deals are won and lost and turn it into an action plan. Use when asked to run a win/loss analysis, review closed-won and closed-lost deals, understand why the team is losing to a competitor, or summarize sales feedback into patterns. Produces a structured win/loss report with themes, win/loss rates by segment and competitor, representative quotes, and prioritized actions for product, marketing, and sales.
development
Route a fuzzy request to the right skill in this library. Use when the user is unsure which skill fits, asks 'which skill should I use for X', describes a task without naming a skill, or when a request could plausibly match several skills. Produces a best-fit recommendation with the inputs to gather, a runner-up with the tie-breaker, and a workflow recipe when the job spans multiple skills.
testing
Triage a vulnerability or scanner finding — assess real severity, exploitability, and how urgently to fix. Use when asked to triage a CVE, prioritize scanner/pentest findings, assess a vuln's risk, or decide what to patch first. Produces a triage verdict: CVSS-informed severity adjusted for your context, exploitability, real risk, a fix/mitigation, and an SLA — so you fix what matters, not just what's red.
development
Stand up a Voice of Customer (VoC) program that turns feedback into action. Use when asked to build a VoC program, design a customer feedback loop, consolidate feedback sources, or set up a closed-loop feedback process. Produces a VoC program design — objectives, feedback sources and channels, a taxonomy, collection and analysis cadence, closed-loop routing, ownership, and success metrics.