AI & ML

mohitagw15856 Skill

Plan the migration of an LLM feature from one model to another without breaking production. Use when a model is being deprecated, a newer model looks better or cheaper, or when asked how to upgrade models safely, run shadow traffic, or set rollback criteria for a model change. Produces a phased migration plan with eval gates, shadow/canary stages, prompt-adaptation notes, and rollback triggers. For choosing which model in the first place use model-selection-advisor.

mohitagw15856 Skill

Interviews you across 15 questions to capture your role, topics, sources, exclusions, and format preferences, then writes a master prompt you can paste into a scheduled task or Claude Code Routine. Use when you want to set up a personalised daily news brief, build a reusable morning news prompt, or create an automated intelligence briefing. Produces a confirmed summary of your preferences, a ready-to-paste master prompt, and setup instructions for both Cowork Scheduled Tasks and Claude Code Routines.

mohitagw15856 Skill

Design or optimize a paywall / upgrade screen to convert free users to paid without killing trust. Use when asked to improve a paywall, upgrade prompt, or free-to-paid conversion, or to decide what to gate. Produces the gating strategy (what's free vs. paid and why), the paywall placement and moment, the screen's copy and plan layout, and the metrics to watch — conversion that respects the user.

mohitagw15856 Skill

Find out whether something you own — a car, appliance, car seat, food item, or gadget — is under a safety recall, and what to do about it. Use when asked to check for a recall, is my [product] recalled, I heard about a recall on, or how do I find out if my car/appliance is affected. Produces a structured way to check by make/model/batch against the official sources, how to read whether your specific unit is affected, the free remedy you're owed, urgency triage for safety risks, and how to register for future recall alerts — flagging that you must confirm against the current official database.

mohitagw15856 Skill

Decide what the extra money does about student loans — attack them, invest alongside them, or ride a forgiveness track — with the three paths simulated on your actual loans and the guaranteed-vs-assumed framing kept honest. Use when asked should I pay off my student loans faster, pay loans or invest, is my forgiveness track worth it, or model my student debt. Produces the three-path comparison from the script, the guaranteed-return framing, the forgiveness-track math with its warnings, and the decision sheet.

mohitagw15856 Skill

Interpretar métricas de producto contra objetivos y exponer señales accionables. Utiliza cuando se te pida analizar la salud del producto, revisar métricas clave, investigar un problema de rendimiento, producir un informe de salud o evaluar señales de ajuste producto-mercado. Produce un informe de salud estructurado con estado RAG, análisis de tendencias, hipótesis de causa raíz y acciones priorizadas.

mohitagw15856 Skill

Find the subscriptions you forgot you pay for — a tool-using agent audits statements and inboxes, prices the waste annually, and preps (never executes) the cancellations. Use when asked to audit my subscriptions, find recurring charges, what am I paying for, or help me cancel unused services. Produces the subscription inventory with keep/cancel/downgrade verdicts, the annual-waste number, and approval-gated cancellation prep.

mohitagw15856 Skill

Model the cost and latency of an LLM feature before it ships and surprises the bill. Use when asked to estimate LLM API costs, set a latency/token budget, decide which model tier to use, or bring down the cost of an AI feature. Produces a cost & latency budget — token math per request, monthly cost projection, model tiering, caching/streaming levers, p95 latency targets, and a guardrail/alert plan.

mohitagw15856 Skill

Choose the right LLM for a task by trading off quality, cost, latency, and constraints. Use when asked which model to use, whether to upgrade/downgrade a model, how to cut LLM costs without hurting quality, or to justify a model choice. Produces a recommendation with the decision criteria, a per-option comparison, a routing strategy (cheap-by-default, escalate when needed), and how to validate the choice with an eval.

mohitagw15856 Skill

Design a regression test suite that catches an LLM feature getting worse when the prompt, model, or context changes. Use when asked to stop prompt changes breaking production, set up golden tests or CI gates for an LLM feature, or test a model/prompt upgrade before shipping it. Produces a golden case set, per-case pass criteria, CI gate thresholds, and a triage protocol for failures. For designing first-time evaluation of a new feature use ai-eval-plan instead.

mohitagw15856 Skill

Audit whether AI agents can actually use your product — docs, APIs, onboarding, errors, and discoverability, evaluated from a non-human user's perspective. Use when asked if a product is agent-ready, to audit a site or API for AI usability, to prepare for agentic traffic, or when agents keep failing against your product. Produces a scored readiness report with per-surface findings and a prioritised fix list. For optimising a single article for AI citation use aeo-optimizer; for designing the MCP server itself use mcp-server-spec.

mohitagw15856 Skill

Run the pre-flight checklist before an agent touches an inbox — the read-vs-send permission line, the injection-in-email-body threat, the send-guard rules, and the blast-radius limits that keep a compromised agent from mailing the company. Use when asked let my agent read/send email safely, set up guardrails before the agent touches my inbox, is it safe to give the agent email access, or review my email agent's permissions. Produces the permission tier, the injection defenses, the send-gate rules, and the incident kill-switch.

mohitagw15856 Skill

Run the pre-flight checklist before an agent gets filesystem access — the scope boundary (which directories, read vs write), the secrets-exposure sweep, the destructive-operation gates, and the path-traversal and untrusted-file defenses. Use when asked let my agent access my files safely, is it safe to give the agent file/computer access, guardrails before the agent touches my filesystem, or scope down my coding agent's reach. Produces the scope boundary, the secrets sweep, the write/delete gates, and the untrusted-content rules.

mohitagw15856 Skill

Specify the tracing, metrics, and alerting for an AI agent or LLM feature in production. Use when asked what to log for an LLM app, design agent tracing or spans, define quality and cost monitors, or answer 'how do we know if the agent is misbehaving?'. Produces an observability spec with a trace schema, metric definitions with owners and alert thresholds, sampling and retention policy, and a privacy note for logged content.

mohitagw15856 Skill

Design the human approval surface for an agent system — which actions gate, how approvals batch without becoming rubber stamps, and what the audit trail must hold. Use when asked to add human oversight to an agent, design approval workflows for AI actions, decide what an agent may do autonomously, or fix approval fatigue in an existing loop. Produces an action-tier policy, approval UX spec, escalation rules, and audit-trail requirements. For specifying the whole agent use agent-spec; for the per-skill execution gates see the Execution-block pattern in SKILLSPEC §5.

mohitagw15856 Skill

Build a personal library of reusable prompts for the things you ask AI again and again — so you stop rewriting the same request from scratch. Use when asked help me build a prompt library, save my best prompts, I keep writing the same prompts, or organize my AI prompts. Produces a captured set of your recurring AI tasks turned into reusable, parameterized prompt templates, an organization scheme so you can find them, guidance on what makes a prompt reusable (clear role, inputs, output format), and how to store and improve them — turning ad-hoc prompting into a personal toolkit that compounds.

mohitagw15856 Skill

Design a freelance/consulting pricing structure — hourly vs day-rate vs project vs retainer chosen per engagement type, anchored packages, and the rules for saying the number out loud without flinching. Use when asked how should I price my freelance services, hourly or fixed price, build my pricing packages, or a client asked my rate what do I say. Produces the pricing-model decision per engagement type, a three-tier package structure, the rate-conversation script, and the discount policy with its floor.

mohitagw15856 Skill

Write a structured project status report for any project. Use when asked to write a project update, status report, RAG report, project dashboard narrative, or weekly project communication. Produces a clear status report with RAG ratings, milestone progress, risks, and decisions needed.

mohitagw15856 Skill

Run a blameless postmortem for an incident caused by an AI agent or LLM feature — hallucinated facts shipped to users, runaway tool use, prompt injection, cost blowouts, or wrong actions taken autonomously. Use when asked to write up an AI incident, analyse why an agent did something wrong, or produce corrective actions after an LLM failure. Produces a structured postmortem with trace reconstruction, a root-cause layer analysis, and corrective actions including a permanent regression case. For non-AI production incidents use incident-postmortem.

mohitagw15856 Skill

Decompose work across parallel subagents properly — task slicing that avoids collisions, briefs that stand alone, and result integration that catches contradictions. Use when work can genuinely parallelise (research fan-outs, multi-file changes, independent analyses), when deciding whether to delegate or do it yourself, or when past multi-agent runs produced conflicts and duplicated effort. Produces an orchestration plan: the parallel/sequential split, per-agent briefs, and the integration protocol.

mohitagw15856 Skill

Review what an agent is actually allowed to do before you turn it loose — the tool-by-tool audit (each capability's blast radius), the least-privilege pass that removes what the task doesn't need, the dangerous-combination check, and the allow/ask/deny tiering. Use when asked review my agent's permissions, what can this agent actually do, lock down my agent's tools, or is this MCP/tool set safe to grant. Produces the permission inventory with blast radius, the least-privilege cuts, the dangerous-combo flags, and the allow/ask/deny assignments.

mohitagw15856 Skill

Design a usage-based pricing scheme that scales revenue with value without scaring customers away — the metric that tracks value, tiers with included volume, and the guardrails that prevent bill shock. Use when asked to design usage-based or metered pricing, move from seats to consumption, price an API or AI product per unit, or handle customers afraid of variable bills. Produces the value-metric selection, the tier structure with included volumes and overage rates, the bill-shock guardrails, revenue modelling at usage percentiles, and the migration plan from the current model.

mohitagw15856 Skill

Run the pre-flight checklist before an agent drives a browser — the untrusted-web-content threat (every page is attacker-controllable), the credential and session-cookie exposure, the action-confirmation gates for purchases and posts, and the sandboxing that limits the damage. Use when asked let my agent browse safely, is it safe to give the agent computer/browser use, guardrails before the agent uses my browser, or review my browser agent's setup. Produces the sandbox decision, the content-injection defenses, the action gates, and the credential-isolation rules.

mohitagw15856 Skill

Turn a data model into an entity-relationship (ER) diagram. Use when asked to design a schema, model data, show how tables/entities relate, or diagram a database. Produces a ready-to-render Mermaid ER diagram (renders live, exportable as PNG/SVG) plus key attributes, cardinality, and design notes.

nvidia Skill

Guide agents through using the OpenShell CLI (openshell) for sandbox management, gateway registration, provider configuration and refresh, policy iteration, settings, service exposure, BYOC workflows, and inference routing. Covers basic through advanced multi-step workflows. Trigger keywords - openshell, sandbox create, sandbox exec, sandbox connect, logs, provider create, provider profile, provider refresh, policy set, policy get, settings, service expose, forward, port forward, BYOC, bring your own container, inference, use openshell, run openshell, CLI usage, manage sandbox, manage provider, gateway add, gateway select.

nvidia Skill

Debug why inference.local, direct external inference, or supervisor-only system inference is failing. Use when the user cannot reach a local model server, has provider base URL issues, sees inference verification failures, hits protocol mismatches, or needs to diagnose inference on local vs remote gateways. Trigger keywords - debug inference, inference.local, system inference, sandbox-system, local inference, ollama, vllm, sglang, trtllm, NIM, inference failing, model server unreachable, failed to verify inference endpoint, host.openshell.internal.

charmbracelet Skill

Use when the user needs help configuring Crush — writing crushrc (the Bash config format) or crush.json, setting up providers, models, LSPs, MCP servers, hooks, skills, permissions, or changing Crush behavior.

letta-ai Bundle

Inspect or modify Letta Code's own memory, model, context window, system prompt, compaction, permissions, toolsets, mods, skills, channels, schedules, agent secrets, and local runtime settings. Use when the user asks how this agent or conversation is configured, asks you to change how you behave or how the harness runs you, or renames you.

nvidia Bundle

Start here. Introduces what NemoClaw is, what agent skills are available, and which skill to use for a given task. Use when discovering NemoClaw capabilities, choosing the right skill, or orienting in the project. Trigger keywords - skills, capabilities, what can I do, help, guide, index, overview, start here.

clawbio Bundle

Detect splice donor and acceptor sites in DNA sequences using the Genomic Intelligence G0 BigBird transformer, via the hosted /v1/tasks/splice/predict API. Returns per-position site probabilities and called sites.

clawbio Bundle

Predict enhancer activity in DNA sequences using the Genomic Intelligence G0 DeepSTARR model, via the hosted /v1/tasks/enhancer/predict API. Returns per-window activity scores.

clawbio Bundle

Detect promoter regions in DNA sequences using the Genomic Intelligence G0 transformer (GENA-LM BERT Large), via the hosted /v1/tasks/promoter/predict API. Returns per-window promoter probabilities and called regions.

clawbio Bundle

Predict tissue / cell-type expression (log TPM + TPM) from a 9,198–500,000 bp TSS-centered DNA sequence (longer than one 9,198 bp window needs --tss-index) using the Genomic Intelligence G0 Expression model, via the hosted /v1/tasks/expression/predict API. The model is conditioned on a free-text cell-type / assay description.

microsoft Bundle

Use this skill when the user wants to "report a bug", "file an issue", "report an issue", "submit a bug report", or report any problem with the mcp-apps plugin to the GitHub repository.

microsoft Bundle

Use when the user wants to add Dataverse tables (existing or new) to a Power Apps mobile app, extend an existing Dataverse table with new columns, or apply an approved data model plan.

microsoft Bundle

Creates Dataverse tables, columns, and relationships for a Power Pages site based on a data model proposal. Use when the user wants to set up the data model, create database tables, or build the Dataverse schema for their site.