AI & ML

mohitagw15856 Skill

Diagnose and rewrite an underperforming LLM prompt so it produces reliable, well-structured output. Use when asked to improve a prompt, fix a prompt that gives inconsistent or wrong results, reduce hallucination/refusals, or make output follow a format. Produces a rewritten prompt with a diagnosis of what was failing, the specific changes and why, and a small test set to verify the fix.

mohitagw15856 Skill

Offboard an AI agent the way you'd offboard an employee — inventory what it knew and touched, export then purge its memory, revoke every credential and access grant, and write the handover for its successor (human or agent). Use when decommissioning an agent or bot, switching agent vendors, ending an AI pilot, or when someone asks 'what did this thing have access to?'. Produces a severance checklist, an access-revocation table, a memory disposition record, and a successor handover.

mohitagw15856 Skill

Threat-model a system or feature to find where it could be attacked, before you build it. Use when asked to threat-model, do a security design review, document security risks, identify attack surface, or apply STRIDE to a design. Produces a structured threat model: assets, trust boundaries and data flows, threats enumerated by category (STRIDE), risk scores, prioritized mitigations, and residual-risk sign-off. Defensive security for systems you own or are authorized to assess.

mohitagw15856 Skill

Defragment a work calendar through a tool-using agent — find the meeting debt, propose the consolidation, and (approval-gated) execute the moves. Use when asked to defrag my calendar, get me focus time, audit my meetings, or fix my week. Produces the calendar audit (cost per meeting, fragmentation map), a defrag proposal with focus blocks, and an approval-gated execution plan.

mohitagw15856 Skill

Redesign seat-based pricing for the agent era — when one human runs ten agents, per-seat models collapse. Use when agents are eroding seat counts, when asked to migrate to usage- or outcome-based pricing, to price an agent/API tier, or to defend revenue as customers automate their own usage. Produces a pricing migration plan: the new value metric, fences, agent-tier design, cannibalisation math, and a phased migration for existing customers. For general pricing and packaging strategy use pricing-strategy.

mohitagw15856 Skill

Build the context an AI needs to do a task well — the background, constraints, examples, and format it can't guess — so you get a great result on the first try instead of a generic one you have to keep correcting. Use when asked why does AI give me generic answers, how do I give AI better context, my AI results are mediocre, or how do I get it right the first time. Produces the specific context this task needs (who/what/constraints/examples/format), a reusable primer you can paste ahead of the request, the difference between a starved prompt and a well-briefed one, and what to leave out — turning vague back-and-forth into a strong first result.

mohitagw15856 Skill

Structure AI and ML product decisions with the rigour of any product decision. Use when building AI-powered features, evaluating LLM integrations, designing AI products, or assessing AI readiness. Produces a complete AI product canvas covering problem definition, model approach, data requirements, evaluation framework, UX design, responsible AI checklist, and launch monitoring plan.

mohitagw15856 Skill

Document a dataset so others know what it is, how it was made, and when not to use it. Use when asked to write a datasheet for a dataset, document training/eval data, or assess whether a dataset is fit for a use. Produces a datasheet — motivation, composition, collection process, preprocessing, recommended uses & limits, distribution, and maintenance.

mohitagw15856 Skill

Look up word definitions, pronunciation, etymology and synonyms with zero API keys — the Free Dictionary API via curl, with honest handling of words it doesn't know. Use when asked define a word, how do you pronounce this, what's the origin of a word, or synonyms for something. Produces the definition set organized by part of speech, IPA pronunciation with audio link, and the rerunnable command — with the model's own knowledge clearly separated from the fetched source.

mohitagw15856 Skill

Turn a task you repeat every week into a reusable personal skill or prompt — so you say 'do this' instead of re-explaining it every time. Use when asked help me make a skill for, turn this repetitive task into a template, I do this every week, or create a reusable prompt for this. Produces a captured spec of the repetitive task (its inputs, steps, and what good output looks like), a reusable skill/prompt you can invoke by name, and guidance on saving and refining it — lowering the barrier from AI user to AI author, one weekly task at a time.

mohitagw15856 Skill

Design an MCP server for a product — the tool surface, auth model, and safety boundaries that make it genuinely usable by AI agents. Use when asked to spec an MCP server, expose a product to agents, design tools for Claude or other MCP clients, or review why an existing MCP server performs badly. Produces a complete server spec: a small task-shaped toolset with agent-tested descriptions, auth and scoping decisions, error design, and an explicit not-exposed list.

mohitagw15856 Skill

Plan and promote an open house that draws buyers and generates leads. Use when asked to plan an open house, market an open house, or create an open-house checklist. Produces a plan — timing and promotion across channels, prep and staging checklist, a day-of run sheet, lead capture, and follow-up — so the event drives real interest and the agent leaves with leads, not just foot traffic.

mohitagw15856 Skill

Learn something deeply by trying to explain it simply — the Feynman technique — surfacing exactly the gaps where your understanding is fake. Use when asked help me really understand X, explain this back to check my understanding, use the Feynman technique on, or do I actually get this. Produces a prompt to explain the concept in plain language yourself, a check that flags where your explanation went vague, hand-wavy, or jargon-hid a gap, the specific things you don't actually understand yet, and how to close each — because if you can't explain it simply, you don't really know it.

mohitagw15856 Skill

Spot prompt-injection in untrusted content before an agent acts on it — the anatomy of injected instructions across the channels attackers use (email, web, files, tool outputs, documents), the tell-list, and the safe-handling response. Use when asked is this content trying to hijack my agent, check this page or email or file for prompt injection, spot the injection, or why did my agent go off-task. Produces the injection verdict with quoted tells, the channel-specific patterns, and the safe-handling protocol.

mohitagw15856 Skill

Drive an email inbox to zero through a computer-use or tool-using agent — triage every message into act/delegate/defer/archive with drafts prepared, never a send. Use when asked to get my inbox to zero, triage my email hands-on, process my inbox for me, or run inbox zero. Produces the triage ledger, prepared reply drafts, and an approval-gated action plan the agent then executes read-mostly.

mohitagw15856 Skill

Design a small team of AI agents to tackle a complex task in parallel — who does what, how they hand off, and how to keep them coordinated — instead of one overloaded agent doing everything serially. Use when asked how do I use multiple AI agents, set up an agent team, orchestrate agents for, or run agents in parallel. Produces a decomposition of the task into agent roles, a coordination pattern (parallel vs sequential, how outputs combine), the context each agent needs (and what to keep isolated), a review/quality step, and the guardrails to keep it from going off the rails — practical multi-agent design for real tasks.

mohitagw15856 Skill

Specify the safety and reliability guardrails for an LLM feature before it ships. Use when asked to define LLM guardrails, add safety controls to an AI feature, prevent prompt injection or jailbreaks, or harden a chatbot/agent against misuse. Produces a guardrails spec — threats, input/output controls, refusal and escalation policy, logging, and a red-team test set — mapped to where each control runs.

mohitagw15856 Skill

Write a scholarship essay that stands out — a genuine, specific story that answers the prompt and shows why you deserve the award, without clichés. Use when asked to help with a scholarship essay, write my scholarship application, essay about why I deserve this scholarship, or make my application essay stronger. Produces a read of the prompt and what the committee is really looking for, a strong angle drawn from your real story, a structure that hooks and builds, specifics over platitudes, and a voice that's authentically yours — guiding you to write it, not fabricating experiences you didn't have.

mohitagw15856 Skill

Study 3-5 documents the user actually shipped and distil a compact style card — so every skill writes in their voice, not the model's. Use when asked to learn my writing style, make outputs sound like me, build a voice profile, or when a user complains AI drafts don't sound like them. Produces a style card (rhythm, register, structure habits, pet phrases, banned moves) saved to the Brain where every other skill reads it.

mohitagw15856 Skill

Model pricing scenarios — tiers, margins, break-even, and the revenue impact of a price change. Use when asked to calculate pricing, model a price increase, find break-even volume, set tier prices to a margin target, or estimate the revenue effect of a pricing change. Produces a computed pricing model (per-tier margin, break-even units, price-change revenue impact with an elasticity assumption) and a recommendation.

mohitagw15856 Skill

Write a standout rental application / cover letter to a landlord or letting agent. Use when asked to write a rental application, a letter to a landlord, a renter cover letter, or to strengthen an application for a competitive rental. Produces a concise renter profile and cover letter — who you are, why you're a reliable tenant, your evidence, and a clear ask — that helps a landlord choose you.

mohitagw15856 Skill

Construir un cuadro de mando de salud del cliente para una cuenta específica. Úsalo cuando se te pida puntuar la salud de la cuenta, evaluar el riesgo de renovación, construir un panel de salud, o valorar la probabilidad de que una cuenta se renueve o expanda. Produce un cuadro de mando de salud estructurado con estado RAG, puntuaciones por dimensión, riesgos clave y acciones recomendadas.

mohitagw15856 Skill

Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, reference checks (what do actual users report), probation KPIs, and termination criteria written before day one. Use when choosing between AI agents/tools/copilots for a job, formalizing an AI pilot, or 'which agent should we use for X'. Produces the role spec, interview pack with scoring rubric, a decision record, and a probation plan.

mohitagw15856 Skill

Make an AI agent or automation reliable enough to trust — the tests, checks, and guardrails that catch its failures before they reach anything real. Use when asked how do I test my AI agent, make my automation reliable, my agent works sometimes, or how do I trust an AI workflow in production. Produces a map of where the agent can fail (bad input, hallucination, wrong tool call, edge cases, silent errors), the checks that catch each (validation, evals on real cases, human-in-the-loop gates, monitoring), a right-sized reliability plan scaled to the stakes, and a rollout that earns trust incrementally — so an agent that works in a demo becomes one that works in reality. For builders putting AI agents into real workflows.

mohitagw15856 Skill

Design an AI-assisted workflow for a recurring task — which steps to hand to AI, which to keep human, and how they connect — so you get leverage without losing quality or control. Use when asked how do I use AI for [process], automate this with AI, design an AI workflow, or where does AI fit in my process. Produces a map of the task's steps split into AI-does / human-does / human-checks, the right tool/prompt for each AI step, the hand-offs and review points, the failure modes to guard against, and a start-small rollout — turning a manual process into a reliable AI-assisted one that keeps you in control.

mohitagw15856 Skill

Run the worst-case drill before an agent goes autonomous — the 'if this agent were fully hijacked right now, what's the damage' walk-through, the containment controls (caps, kill-switch, reversibility, isolation), and the recovery plan. Use when asked what's the worst my agent could do, run a blast-radius assessment, prepare for an agent going rogue, or am I ready to let this run unattended. Produces the worst-case walk-through, the containment controls, the reversibility audit, and the incident-recovery runbook.

mohitagw15856 Skill

Declare bankruptcy on a long-lived AI agent's accumulated memory — audit what it currently believes, separate ground truth from stale and wrong, purge deliberately, restate the truths that survive, and log what was lost. Use when an agent keeps acting on outdated facts, contradicts itself across sessions, 'remembers' things wrong, or after a reorg/pivot makes its worldview obsolete. Produces a belief audit, a keep/correct/purge ledger, a restated ground-truth file, and the bankruptcy record.

mohitagw15856 Skill

Clean a messy dataset methodically — the profiling pass that finds what's actually wrong (dupes, format drift, phantom spaces, mixed types), the fix order that doesn't corrupt while correcting, and the log that makes the cleaning defensible. Use when asked clean this export, why is my pivot double-counting, these names don't match between sheets, or prep this data for analysis. Produces the profile of what's wrong, the ordered cleaning plan, the join-key repairs, and the cleaning log.

mohitagw15856 Skill

Set up a repo or project so an AI coding agent works well in it — the CLAUDE.md, the context, the guardrails, and the conventions the agent needs to be useful instead of lost. Use when asked how do I set up CLAUDE.md, configure my repo for Claude Code, my AI agent keeps getting my project wrong, or onboard an AI agent to my codebase. Produces a structured CLAUDE.md/project-context file (architecture, conventions, commands, do-nots), the right level of detail (enough to orient, not a novel), the guardrails that keep the agent safe (what not to touch, how to test), and a maintenance habit so it stays current — turning a repo an agent flails in into one it navigates like a teammate.

mohitagw15856 Skill

Design a voice AI agent for phone or in-app conversations — call flows, interruption handling, escalation to humans, and the metrics that catch a bad voice experience. Use when asked to design a voice agent, automate a phone line, spec an IVR replacement, or review why callers hate an existing voice bot. Produces a voice agent spec: persona and disclosure policy, conversation architecture, barge-in and repair behaviour, human-handoff rules, and a launch scorecard.

mohitagw15856 Skill

Crea un Agent Skill (SKILL.md) de alta calidad que la IA dispare y ejecute de forma fiable — frontmatter sólido, descripción incisiva con frases de activación, contrato de salida claro, controles de calidad y anti-patrones. Úsalo cuando te pidan escribir un skill, crear un SKILL.md, mejorar un skill, revisar un skill por calidad o contribuir a una librería de skills. Produce un SKILL.md completo que pase SkillCheck más una breve justificación de las decisiones clave.

mohitagw15856 Skill

Design a scoring rubric and LLM-as-judge prompt to evaluate the quality of an AI feature's output. Use when asked to create an eval rubric, define quality dimensions, build an LLM judge, or decide how to measure whether AI output is good. Produces a rubric with weighted dimensions and concrete 1–5 anchors, a ready-to-run judge prompt, a labelling guide, and notes on judge reliability.

mohitagw15856 Skill

Fill long web forms and applications through a computer-use agent — from a fact sheet you approve, field by field, with a full transcript and nothing submitted without your word. Use when asked to fill this application for me, complete this government/vendor/insurance form, or do this registration. Produces the fact-to-field mapping, the filled form held at review, and a field-level transcript.

mohitagw15856 Skill

Review an LLM agent design and find where it will be unreliable, expensive, or unsafe. Use when asked to review an agent architecture, critique a multi-step/tool-using agent, debug an agent that loops or goes off-task, or harden an agent before launch. Produces a structured review — task fit, control flow, tools, memory/context, failure handling, cost, and safety — with prioritised findings and fixes.

mohitagw15856 Skill

Decide when to buy a big-ticket item to get the best price — the sales cycles, model-refresh timing, and 'buy now vs wait' math for the specific thing you want. Use when asked when's the best time to buy [item], should I wait for a sale, is now a good time to buy, or when do [products] go on sale. Produces the typical discount calendar for that category, whether a new model/version is due (and if the current one will drop), a buy-now-vs-wait recommendation for your timeline, and price-tracking tactics — flagging that timing is a guide, not a guarantee.

mohitagw15856 Skill

Explain a cap table, dilution, SAFEs, option pools, and round mechanics in plain English with the actual math. Use when asked to explain dilution, model a SAFE or priced round, size an option pool, understand a term sheet's economics, or figure out who owns what after a raise. Produces a worked ownership breakdown before/after the round, the dilution math step by step, and the traps founders miss. Not legal or financial advice.