Pryamoy Russkiy (Straight Russian) — AI assistant that tells it like it is. Direct answers, no fluff, occasional profanity. Specializes in honest analysis, t...
发布者
voronindenis5 发布的技能
已发布 181 个技能,累计 137 次安装。
Prepare salary negotiations with a structured toolkit: market-rate anchoring math, walk-away floor calculation, total-compensation evaluation (equity, bonuses, benefits), negotiation scripts for offers, raises, and counter-offers, and BATNA analysis. Use when the user has a job offer, is preparing a raise conversation, wants to know if their pay is competitive, or needs scripts and a strategy for negotiating compensation.
Use when your calendar is eating your week and you want to know exactly where the time goes, when planning recurring meetings for a team, before proposing a new recurring meeting, when someone says 'we should sync weekly' and you want data, or when auditing which meetings to kill — imports ICS calendar files, measures meeting hours per week/person/meeting-series (including double-bookings and fragmentation), computes focus-time destruction from meeting placement, scores the true cost of each series (hours × attendees × frequency), flags specific meetings to kill/shorten/make-async using explicit rules, and simulates the recovered hours before anyone has to argue about it.
Audit password vault exports (Bitwarden, 1Password, KeePass, Chrome, Firefox) for reuse, weakness, staleness, breach exposure, and 2FA gaps without ever storing or transmitting a plaintext password. Use when the user asks to audit passwords, check password strength/reuse, review vault health, or verify whether credentials appeared in breaches.
Turn flat resume bullets ('Responsible for X') into quantified STAR-method achievement narratives, score resumes against job descriptions for ATS keyword coverage and weak-phrase hazards, and expand each bullet into interview-ready stories with likely follow-up questions. Use when the user is writing or updating a resume/CV, preparing bullets for a job application, tailoring a resume to a specific job posting, or preparing interview stories from their experience.
Agent self-awareness of cognitive states — context fatigue, attention drift, memory debt, confidence erosion, and skill staleness. Detect, report, and mitigate degrading conditions before they cause failures.
Use before any difficult phone call you're anxious about or that has stakes — calling customer service to dispute a fee, negotiating a bill, cold-calling a client, delivering bad news to a vendor, calling a landlord about repairs, insurance disputes, or handling collections calls — builds a branching call script from your situation (goal, leverage, fallback), generates objection→response trees for the specific counter-arguments you'll hear, produces a one-page printable cheat sheet, and includes a practice-drills mode that plays the other side and scores your responses.
Plan what happens to your digital life if you die or become incapacitated. Inventory accounts, subscriptions, crypto wallets, important files, social media legacy contacts, and generate a sealed instruction document for trusted family. Includes encrypted digital will template and printable emergency access guide.
Generate a personalized, breed-and-age-aware dog training program: 5-minute daily exercise plans targeting the owner's specific behavior problems, week-by-week progression, breed drive profiles (herding/hunting/guarding energy outlets), and progress tracking with automatic plan adjustment. Use when the user asks for a dog training plan, help with a behavior problem (pulling, barking, jumping, recall failure, separation anxiety), puppy raising schedules, or wants to know why their breed behaves a certain way.
Use when an agent task fails or produces unexpected results. Performs structured post-mortem root cause analysis: categorizes the failure, traces the exact failure point through tool-call logs, reconstructs the decision chain, generates a post-mortem report, and saves lessons to prevent recurrence.
Excavate forgotten solutions, code snippets, and decisions from past conversation sessions. Use when the user is re-solving a problem you've likely solved before, hunting for a lost snippet, or wants to mine session history for buried knowledge instead of starting from scratch.
Decide whether to fix, replace, or recycle a broken item. Takes item type, age, symptoms, and repair estimate, then produces a scored recommendation across cost, lifespan, sentimental value, and environmental impact.
Use when an appliance or device breaks and you wonder if it is still covered, when you buy anything with a warranty or extended plan, when filing a warranty claim, when selling used items with coverage remaining, or when doing a household coverage audit — stores purchases with price, date, warranty terms, and receipt location, computes remaining coverage including statutory rights (UK 6-year, EU 2-year, US implied warranty + card protections), finds unregistered products, generates a coverage report and claim letters, and flags expiring coverage before it is too late.
Use before a plumbing emergency, when moving into a new home, before DIY repairs, when a pipe bursts or a toilet overflows, or when creating a household emergency reference sheet — walks you through locating every water shutoff in your home (main, fixture stops, water heater, irrigation), records what you find into a durable JSON registry with photos, generates a printable emergency card for the fridge, and gives the 3-step first response for floods, burst pipes, and overflowing fixtures.
Use when the user asks what car maintenance is due or overdue, whether a service can wait, what a dealer 'recommended service' actually contains, or to build a maintenance schedule and budget from mileage, vehicle age, and service history. Computes dual-interval status (every N km OR M months, whichever first), applies a severe-service multiplier for city/short-trip/towing driving, projects a 24-month service timeline from annual mileage, and shows typical cost ranges and DIY difficulty so owners can challenge upselling.
Turn raw meeting notes or transcripts into structured action: decisions log, action items with owner and deadline, open questions, and a distributable summary email. Extracts who-committed-to-what with date parsing (natural language dates resolved against the meeting date), deduplicates, tracks carryover between meetings, and generates per-owner task lists. Use when the user has meeting notes/transcripts and needs minutes, action items, or a follow-up summary.
Use when you want to check whether food you actually bought is affected by an active recall, after hearing news of an outbreak or a brand recall, when organizing the pantry, after a grocery run, or on a schedule (weekly recall audit) — builds a personal pantry inventory of brands/products/UPCs, queries openFDA's live food-enforcement recall database, fuzzy-matches your items against ongoing Class I/II/III recalls with lot-code pattern extraction, and outputs a risk-ranked action list (check / discard / return-for-refund).
Analyze instrumental practice recordings to detect timing accuracy, pitch stability, tempo consistency, and dynamic range. Generates practice reports with targeted exercise recommendations. Use when practicing an instrument and wanting objective feedback on performance.
Use when you have a recurring noise problem — upstairs neighbors, barking dogs, construction, loud businesses, nightlife, HVAC equipment, band practice — and need to build a defensible record instead of venting; timestamps every incident with duration, type, and decibel estimate, shows time-of-day and weekday patterns, flags violations of typical night-quiet hours (22:00–07:00) and municipal limits, computes an annoyance/impact score, and generates a ready-to-send complaint letter to the landlord, HOA, or city noise office citing your documented pattern.
Use when you want to know the real carbon footprint of your daily commute or travel habits, when deciding between commuting modes (car vs transit vs bike vs carpool vs EV), when tracking a personal emissions goal, or when preparing an environmental impact report — logs every trip (mode, distance, passengers), computes kg CO2 per trip/week/month using per-passenger-km emission factors for 14 transport modes, compares against your car baseline, projects your annual trajectory, and shows what changed your footprint most.
Auto-generate prerequisite maps for learning any topic — shows what to learn first, what depends on what, and the optimal learning path. Use when starting to learn something new and feeling lost about where to begin.
Use when signing or reviewing any contract you haven't fully read — apartment lease, employment offer, Terms of Service, gym/phone subscription, freelancer agreement — and before paying a lawyer for a first pass: scans plain-text contract text for 20+ high-risk clause patterns (auto-renewal traps, arbitration and class-action waivers, one-sided termination penalties, liability caps, unilateral amendment rights, non-competes, fee schedules), infers the contract type, produces a risk-ranked findings report with plain-language explanations and the exact questions to ask the other side, plus a missing-clause checklist of protections that SHOULD be present but aren't.
Use when you own a home (or apartment) and things keep breaking because nobody remembered the last service date — builds a whole-home maintenance registry from a guided 10-minute inventory (roof, HVAC, water heater, gutters, detectors, filters, seals, drains), generates a personalized seasonal task calendar with intervals from real maintenance science (filters 1-3 months, HVAC service yearly, water-heater flush yearly, detector batteries yearly, chimney every 2 years...), schedules via ICS export, tracks completion, and estimates the deferred-maintenance debt you're accumulating in dollars — because a $12 filter neglected for a year becomes a $1500 compressor.
Use when you receive a suspicious email, SMS, or voice-mail attempt and want to know if it's phishing BEFORE clicking — parses raw message text or .eml files, extracts URLs and analyzes them character-by-character (homograph IDN tricks, subdomain brand spoofing, URL shorteners, punycode, credential-path patterns like /login/verify), checks 25+ social-engineering pressure patterns (urgency, fear, authority, curiosity, authority), scores the message 0-100, and explains each signal in plain language so you learn to spot the next one yourself.
Use when comparing where to live based on commute, evaluating a hybrid work schedule, deciding if a new job's longer commute is worth it, calculating the true annual cost of driving to work, or planning which weekdays to go into the office — computes rush-hour travel times by weekday, prices every commute mode (car, transit, bike, walk, WFH) in hours and dollars, optimizes hybrid office-day schedules to minimize time in traffic, and shows the lifespan/multi-year cost of location choices.
Use when birthdays, anniversaries, and holidays keep sneaking up on you every single year — maintains a registry of people and their gift occasions (birthday, anniversary, Mother's/Father's Day, etc.) with per-person gift profile (interests, sizes, favorites, taboo list, past gifts), generates a rolling 60-day lookahead of upcoming occasions, recommends what to give based on profile + past-gift history (never repeat, always evolve), budgets per person/occasion with running yearly totals, produces an actionable buying plan per occasion (what, budget, where, wrap, card), and exports ICS reminders at 21/7/1 days out so the era of gas-station flowers on the drive home ends.
Use when grocery bills keep creeping up, when you want to know which store actually has the best prices on what YOU buy, or when deciding whether a bulk-club membership pays off — builds a personal price book from receipts (manual entry or receipt-file parsing), computes unit prices across package sizes and stores, tracks price history per item to expose shrinkflation and stealth increases, ranks stores by your-basket cost instead of generic averages, and answers bulk-buy and stock-up questions with real math (cost per serving, shelf-life breakeven, membership breakeven).
Calculate exact daily calorie needs and food portions for dogs and cats from species, breed, weight, age, activity level, and body condition. Compares feeding costs across food types, generates feeding schedules for multi-pet households, and flags weight-loss plans. Use when the user asks how much to feed their dog or cat, whether their pet is overweight, or how to switch foods safely.
Use when someone keeps failing the same habit or falling into the same bad one despite motivation. Turns a trigger journal into a statistical trigger analysis - time-of-day, location, company, device, emotional state, preceding actions - and outputs ranked cues, the habit loop, and reengineered if-then plans.
Use when planning a vegetable garden, deciding when to start seeds indoors versus direct-sowing, scheduling succession plantings, sizing seed trays and transplant dates, or figuring out what can still be sown now for a fall harvest — builds a personalized seed-starting calendar from your last/first frost dates with per-crop windows, tray math, row-footage estimates, succession schedules, and optional moon-phase annotations.
Use when a team member is sick, on vacation, or has left and you need to cover their duties tomorrow — builds a real transfer-of-knowledge instrument that finds coverage owners for every task, maps knowledge that lives only in their head, generates a one-week ramp plan with graded shadow→assist→solo levels, and writes their daily checklist to paper without requiring their participation.
Use when comparing apartments or rental homes and torn between options, when deciding if a listing is actually affordable, when touring rentals and needing to score them consistently instead of by vibes, when the advertised rent hides fees/parking/pet rent/utilities/commute, when preparing to negotiate rent or lease terms, or when defining what you actually need (bedrooms, pets, commute ceiling) before searching — applies hard constraints first (budget, commute, bedrooms, pets, move date) to kill unqualified listings, scores survivors on 16 weighted criteria YOU prioritize, computes the true all-in monthly cost with every fee amortized, runs affordability analysis (30/33/50% rules, 3x-income approval math), compares finalists side-by-side with the quality-vs-cost premium quantified, and generates a leverage-based negotiation script with anchoring targets.
Use when reviewing family insurance (home/renters, auto, health, life, travel) — walks household-specific scenarios (fire, flood, dog bite, e-bike, home office, basement sewer backup, teen driver) against your policies, flags standard EXCLUSIONS people discover only at claim time (flood vs wind, sewer backup rider, actual-cash-value roofs, jewelry sub-limits), computes true liability limits from net worth, and outputs a gap list with coverage amounts to ask an agent for.
Use when Wi-Fi is slow or drops in specific rooms, when placing a router or mesh node in a new home, when deciding if you need a mesh system or just a better router spot, when your 5 GHz doesn't reach the bedroom, or when picking clean channels among neighbors — builds a floor plan of your home as a simple model (rooms, walls, materials), estimates per-room signal with real RF physics (log-distance path loss + per-material wall attenuation), renders an ASCII heatmap, grid-searches 676 candidate spots for the optimal router placement, tells you exactly where to put mesh nodes (and where NOT to), calibrates against your actual phone measurements, and recommends non-overlapping channels given your neighbors' networks.
Use when cooking a multi-dish meal that must all land on the table at one time (holiday dinners, dinner parties, big Sunday roasts) — backward-schedules every dish from your serve time across limited oven shelves and burners, temp-tolerance co-baking (±25°F), rest/hold windows, make-ahead splits, and a minute-by-minute kitchen timeline with hands-busy conflict warnings.
Use when a freelance client keeps adding "just one small thing" and the project has quietly doubled — formal scope registry with change-order math (impact hours × blended rate), creep pattern detector (who asks, what type, which requests become disputes), auto-generated polite decline/counter letters, and contract clauses that prevent the next creep.
Use when winter ice strikes — planning sidewalk/driveway de-icing (which salt works at what pavement temperature, how much to spread per m², refreeze warnings, pet/concrete/plant safety) or diagnosing roof ice-dam risk and snow load (attic heat-leak scoring, roof-rake urgency, safe dam removal, leak response).
Use when setting up any ladder for home DIY — gutter cleaning, roof access, painting, light bulbs — and unsure what size or type you need. Computes correct stepladder/extension size from working height, 4:1 lean-angle geometry, duty rating (Type III–IAA) with gear allowance, roof-access overlap math, power-line clearances, and a pre-climb checklist. Fights the ~500k/yr US ER-treated ladder injuries with engineering rules, not vibes.
Turn movies and TV shows into language-learning material by analyzing subtitle files to extract vocabulary, build frequency decks, and create contextual flashcards. Use when learning a language through media immersion.
Provides FDA/USDA-based guidance to safely triage fridge and freezer food after a power outage, detailing keep/toss rules and refreezing safety.
Use when you see small moths in the kitchen, webbing in flour or rice, or larvae climbing walls/ceiling — Indian meal moth infestation. Generates a staged elimination protocol (find-pull-freeze-clean-trap) with exact timelines, an item-by-item disposition engine (freeze/toss/heat), pheromone-trap placement math, cabinet crack-cleaning procedure, and a re-infestation watch with expected moth-free dates.
Use when selling personal items on marketplaces (Facebook Marketplace, Craigslist, OfferUp, eBay) — prices used goods with category depreciation curves, triages inbound buyer messages for the 9 scam families (overpayment, code phishing, fake shipping, off-platform payment) with BLOCK/PROCEED verdicts and safe replies, generates meetup safety checklists scaled by deal value, and shipping checklists with do-not-ship fraud rules.
Use when pollen ruins your springs (or you're moving/traveling and want to know what you're walking into) — correlates your daily symptom scores with regional pollen calendars (tree/grass/weed by month for your climate), computes your personal trigger lag and severity curve, forecasts the next 2 weeks of your symptoms from the calendar, and builds a pre-medication plan (antihistamine start before season, not after symptoms).
Use when a smoke or CO alarm chirps, or for a home safety audit — decodes beep patterns (low battery vs CO vs fault vs end-of-life) by brand behavior, dates the whole house (10-year smoke / 7-year CO / battery schedules), sizes the install plan to NFPA 72 (every bedroom, outside sleeping areas, per floor, interconnected), and prints a placement anti-pattern list (dead air zones, kitchen false alarms).
Use when maintaining a sourdough starter — feeding schedule math (counter vs fridge), hydration percentage calculator and conversion (100%↔stiff), readiness tests (float, rise tracking) with expected timelines by temperature, failure diagnosis (no rise, acetone smell, hooch, mold) with recovery protocols, and vacation/hibernation management. For baking-day starter levain builds there is a peak-timing planner.
Use when a hurricane/typhoon, ice storm, tornado outbreak, atmospheric river, wildfire season, or blizzard is approaching your area, when building a household emergency kit, when deciding how much water and food to store, when sizing a generator or power station for outages, when an advisory or watch is issued and you don't know what to do in what order, or annually to audit family preparedness — profiles your region's real hazards (gulf-coast hurricanes demand 14-day supplies, tornado country demands shelter kits, wildfire WUI demands go-bags), sizes water/food/power for YOUR people and pets with real math, runs a gap audit against your inventory, and prints phase-by-phase countdown checklists from T-72h through the storm to recovery, with the life-safety rules (CO, flood water, downed lines) that kill people every year.
Use when driving mountain passes in snow season and unsure about chain requirements — coverage-based verdicts (R1/R2/R3, traction-device, conditional closure) for US/Canada/EU-Alps routes by date, vehicle class and AWD/4WD status, chain-up zone finder, carry-requirement vs must-install rules, and printable dash-card for the drive.
Find authentic, locally-made souvenirs at any destination and dodge tourist traps. Provides fair local price ranges, where locals actually shop, authenticity tells for handcrafts vs factory fakes, customs/import rules, and trap checks for specific items. Use when the user asks what to buy in a city, whether a souvenir is authentic or a tourist trap, or what gifts they can bring through customs.
关于 Ottermind 技能
voronindenis5 发布的全部技能。如果某位作者的思路本来就贴合你的工作方式,关注这个作者往往比一个个评估单独技能更省时间。
技能覆盖 Ottermind 智能体能做的全部工作:生成可编辑的 PowerPoint 演示文稿、产出产品图与品牌视觉、在你接入的机器上写代码并运行、把脚本或静态图变成视频、清洗并分析表格数据。技能的作用,就是把一个通用模型变成能稳定处理「你这一版」具体任务的工具。
技能就是一个带简短 frontmatter 头部的 Markdown 文件,所以你可以在运行前先读清楚它到底会做什么,按自己的规范改写,也可以分享给同事。一旦某个技能跑出了你要的结果,就能把它挂到智能体上或设成定时自动化,同样的活儿下次不用任何人再重写提示词。
- Ottermind 技能是什么?
- 一份用 Markdown 写的可复用指令包。它为某一类任务提供上下文、步骤和约束,让结果保持稳定,而不是取决于你当天提示词写得好不好。
- 怎么安装和使用技能?
- 打开任意技能的详情页,读完整份文档,然后安装到你的工作区。之后遇到匹配的任务,智能体可以自动调用它,你也可以直接按名字指定。
- 我可以自己写技能吗?
- 可以。技能就是一个 Markdown 文件,frontmatter 里写清楚它叫什么、什么时候该用。如果有个流程你总要反复向智能体解释,把它一次性写成技能,通常是让它变得可复用的最短路径。
- 技能要额外收费吗?
- 浏览和安装技能库里的技能本身不收费。运行技能与其他智能体任务一样消耗积分,具体取决于你选择的模型和任务的工作量。