Skills by voronindenis5

Pryamoy Russkiy (Straight Russian) — AI assistant that tells it like it is. Direct answers, no fluff, occasional profanity. Specializes in honest analysis, t...

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.

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.

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.

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.

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.

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.

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.

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 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.

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 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.

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).

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.

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.

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.

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 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.

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.

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.

Convert any text — PDF excerpts, lecture notes, articles, textbook chapters — into spaced-repetition flashcards. Generates Anki-importable CSV with Q&A and cloze-deletion modes using regex-based extraction and sentence analysis.

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 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.

Decode veterinary visit notes, discharge summaries, and lab panels (CBC, chemistry, urinalysis) into plain language: what each value means, which results are actually abnormal for the animal's species/breed/age, flag concerning trends across visits, and generate a question list for the next appointment. Use when the user shares vet notes or bloodwork for a pet and asks what it means, whether results are normal, or wants trends tracked over time.

Check if furniture fits a room and the delivery path before buying or moving: computes doorway/hallway/stair clearance with diagonal-tilt geometry (the moving-industry standard), room layout fit with walkway widths, and draws an ASCII floorplan preview. Use when the user asks if a sofa/desk/bed/mattress will fit through a door, up stairs, around a corner, or in a room — preventing the classic bought-it-can't-move-it disaster.

Compare debt payoff strategies with real amortization math: avalanche (highest APR first), snowball (smallest balance first), and minimum-only baseline. Shows exact debt-free dates, total interest paid, interest saved, and freed-minimum cascading. Use when the user has credit card debt, student loans, or multiple debts and asks which to pay first, how long until debt-free, or whether to pay off small balances or high rates first.

Split group expenses fairly (equal or weighted shares) and compute the minimum number of money transfers to settle up. Reads a simple ledger of who paid for what, handles non-even splits, weights, and shared vs personal items, then produces an optimal settlement plan (who pays whom, how much) plus a fairness audit. Use when settling trip costs with friends, splitting rent and utilities among roommates, or running any shared-expense pool without a dedicated app.

Decode laundry care symbols from text descriptions (tub, triangle, iron, circle, square shapes with dots/bars), build a safe wash plan for a mixed load (color bleeding risk, temperature ceilings, fabric conflicts), and give evidence-based stain removal protocols by stain type. Use when the user asks what a care label means, whether clothes can be washed together, what temperature is safe, or how to remove a specific stain without ruining the fabric.

Minimize tool call overhead. Every tool call costs tokens and latency. This skill teaches agents to batch independent calls, avoid redundant reads, cache results within a session, prefer single powerful commands over multiple weak ones, and track a 'tool budget'.

Pre-trip border intelligence: visa requirements by nationality, passport validity rules, Schengen 90/180 day stay calculators, yellow-fever certificate requirements, duty-free/cash customs limits, and transit-visa checks for any route. Use when the user asks about visas, entry rules, passport validity, how long they can stay, customs allowances, or whether they need vaccinations for a trip.

Use when comparing two or more job offers, deciding between a remote and on-site role, weighing a higher salary against a long commute, moving cities for a job, pricing the real value of benefits, or preparing a salary negotiation counter-offer. Computes true total compensation — base + expected bonus + capped retirement match + risk-discounted equity − health premiums − commute cost (km + parking) − cost-of-living adjustment — then effective hourly rate on REAL hours (contracted + overtime + commute), PTO valuation, and the exact break-even base salary the losing offer needs to match the winner. Outputs a negotiation-ready target number.

Calculate exact quantities of drinks, ice, food, glassware, and supplies for parties and events from headcount, duration, guest mix, and weather. Uses bartender-standard consumption math (drinks per guest-hour), splits beer/wine/spirits by drinker preferences, applies food-per-hour catering rules, and sizes ice in pounds. Use when planning any party, BBQ, wedding, holiday dinner, or gathering and asking how much alcohol, soda, ice, or food to buy.

Generate creative writing prompts from your own life. Scans personal photos metadata, journal entries, and notes to find emotionally resonant moments, then transforms them into fiction seeds across multiple genres. Use when experiencing writer's block or wanting to fictionalize real experiences.

Parse, decode, and expand written knitting patterns. Translates abbreviations, calculates yarn requirements from gauge, tracks stitch counts across rows, and generates row-by-row instructions from condensed pattern notation. Use when a knitter needs help understanding, planning, or tracking a knitting project.

Use when you want to know which appliances actually drive your electric bill, whether a bill spike is explained by your usage, if standby/vampire draw is worth addressing, whether replacing an old fridge/dryer/AC pays back, or when modeling tiered utility rates — builds a ranked cost-per-appliance table from watts, duty cycle, and usage hours, reconciles it against your real bill, and computes replacement payback.

Plan the optimal order for a multi-stop errand run: groceries, pharmacy, post office, pickup, drop-off. Computes distance (haversine) and travel time between stops, respects opening-hours time windows, adds service/dwell time per stop, and optimizes the visit order with nearest-neighbor + 2-opt. Outputs a timed itinerary with ETAs, wait time, and flags for stops you'd arrive at after closing. Use when someone asks what order to run errands in, whether several stops fit before closing time, or how to route a day of pickups and deliveries.

Manage exam anxiety with adaptive breathing exercises, evidence-based study planning, stress visualization, and motivational coaching. Use when preparing for tests or feeling overwhelmed by academic pressure.

Triage, categorize, and conquer email overload. Classifies emails by urgency, generates quick replies, detects newsletters for bulk unsubscribe, and produces daily digests. Use when facing an overflowing inbox or wanting to maintain inbox zero.

Use when a landlord withholds or deducts from a security deposit, when moving in or out and a room-by-room condition inventory is needed as evidence, or when deciding whether a claimed deduction (repainting, carpet replacement, cleaning) is fair wear-and-tear or chargeable damage. Grades condition 0-5, diffs move-in vs move-out inventories, prorates legitimate deductions by useful-life depreciation (paint 3yr, carpet 8yr...), cites jurisdiction deposit-return deadlines, and generates an itemized dispute letter with corrected amounts.

OCR, tag, search, deduplicate, and organize screenshots. Makes screenshots searchable by content, detects and removes duplicates, groups by topic, and generates a searchable index. Use when a user has hundreds of unorganized screenshots and needs to find, clean, or categorize them.

Describe a DIY project, get an exact tool list, materials needed, cost estimate, and step-by-step guide filtered by your available tools. Recommends the right tool for each job, finds substitutions, and flags missing tools. Use when planning any DIY, home repair, or making project.