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Multi-agent source security audit with a coverage ledger, independently verified findings, and machine-checked records. Use when asked to audit a codebase, find vulnerabilities, or run a source-level pen test.
Drafts comments on other people's LinkedIn posts that add a specific the post lacked, then gates them offline. Use when commenting on a post, engaging with a prospect or peer, or checking a comment before pasting it.
Builds a weekly or monthly LinkedIn publishing plan from content pillars, a posting cadence and a format mix, with a founder-oriented pillar set as an alternative to the general one. Use when planning a week, a month or a launch period of posts rather than…
Turns something made for another channel (a thread, a video or talk transcript, a blog post, a newsletter) into a post that reads as native to LinkedIn, without changing what the source says. Use when existing material should become a LinkedIn post rather…
Designs and runs an employee advocacy programme: who posts what and how often, review rules, and what is never scripted. Use when getting a team posting, writing an advocacy policy, or fixing a programme that has stalled.
Segments who reacted to and commented on a post from a CSV or JSON export, and says whether it reached the intended audience. Use when reviewing a post's engagers, checking audience fit, or building a baseline.
Extracts and classifies the opening-line pattern of LinkedIn posts the user pastes or saves, and turns each into a reusable slot template with cautions. Use when studying why an opening works, building a swipe file, or adapting a hook pattern without copying…
Audits and rewrites LinkedIn drafts to remove machine-sounding patterns: tiered tell catalogue, emoji-pattern scoring, rule explanations, and a voice fingerprint built from the author's own posts. Use when a draft reads generated, before publishing, or when…
Drafts LinkedIn posts from a brief: picks an angle and opening pattern the author's real material supports, structures the body, and gates the draft before it is pasted. Use when writing a post, choosing a hook, or checking a draft before publishing.
Audits and rewrites a LinkedIn profile from pasted text: headline, About, experience, skills, Featured, banner and photo. Use when reviewing a profile, fixing a headline or About, or preparing a profile before posting more.
Triages a pasted LinkedIn comment section and drafts replies: which comments to answer, in what order, which to ignore. Use when answering comments on your own post, replying inside a thread, or clearing a backlog.
Interviews a person to surface what they actually have to say, and keeps the answers in a local story bank file that later LinkedIn drafts draw on. Use when someone has never posted, when drafts keep coming out generic, or when the story bank is thin or stale.
Keeps a local log of LinkedIn comments you left, records who replied, and reports follow-ups due, overdue, or dead. Use when logging a comment, checking which threads need an answer, or reviewing reply rates.
Financial leadership advisor on financial planning, fundraising, investor reporting, and unit economics. Use when building a financial model, preparing for fundraising, calculating unit economics, or managing cash runway.
Marketing leadership advisor on brand strategy, demand generation, and marketing operations. Use when building a marketing strategy, planning demand-gen campaigns, designing lead scoring models, or aligning marketing with revenue.
Operations leadership advisor on business operations, process optimization, and scaling infrastructure. Use when designing operational processes, planning headcount capacity, optimizing vendors, or scaling operations.
Business intelligence across dashboard design, visualization, and reporting automation. Use when designing dashboards, building KPI frameworks, automating reports, creating data stories, or optimizing BI tool performance.
Data analysis across SQL, visualization, statistics, and reporting. Use when writing SQL queries, building dashboards, performing cohort or funnel analysis, running hypothesis tests, or presenting data-driven recommendations.
Data science across machine learning, statistical modeling, and experimentation. Use when selecting ML algorithms, engineering features, designing A/B tests, evaluating model performance, or building predictive pipelines.
MLOps across model deployment, ML pipelines, monitoring, and feature stores. Use when deploying models to production, building training pipelines, setting up drift detection, configuring feature stores, or automating ML CI/CD workflows.
Use when the user asks to "design an experiment", "build a predictive model", "run A/B test analysis", "perform causal inference", "engineer features", "evaluate model performance", "set up MLOps pipeline", "analyze time series", "calculate sample size", or…
Prompt engineering and LLM evaluation. Use when optimizing prompts, designing prompt templates, evaluating LLM outputs, building agentic systems, implementing RAG, creating few- shot examples, or designing structured-output workflows.
HR business partnership across talent strategy, org development, and employee relations. Use when building workforce plans, designing performance reviews, resolving employee relations cases, or advising leadership on org change.
Operations management across process optimization, efficiency, and continuous improvement. Use when designing workflows, building capacity plans, evaluating vendors, running Lean Six Sigma DMAIC projects, or optimizing cost-per-unit.
People analytics across workforce metrics, predictive modeling, and employee insights. Use when building turnover models, analyzing engagement surveys, running pay equity regressions, or scoring flight risk.
Talent acquisition across recruiting strategy, sourcing, interviews, and hiring analytics. Use when writing job descriptions, designing interview scorecards, analyzing hiring funnels, or improving offer acceptance rates.
Brand strategy covering positioning, identity, brand architecture, messaging frameworks, and governance. Use when developing brand positioning, creating messaging frameworks, auditing brand health, or building brand architecture.
Growth marketing covering experimentation, funnel optimization, acquisition channels, retention, and viral growth. Use when designing A/B experiments, optimizing AARRR funnel stages, or prioritizing channels by CAC and LTV.
Marketing analytics covering campaign analysis, attribution and marketing mix modeling, ROI measurement, and performance reporting. Use when analyzing campaign ROI, comparing attribution models, or optimizing budget allocation.
SEO covering technical SEO, content optimization, link building, keyword research, and search analytics. Use when auditing technical SEO, researching keywords, optimizing on-page elements, or analyzing organic search performance.
Design systems leadership across component libraries, design tokens, and design-dev collaboration. Use when architecting a token system, building a component library, defining governance, or generating cross-platform tokens.
Product design across UI/UX, design systems, prototyping, and user research. Use when creating user journey maps, building wireframes, defining design tokens and component systems, planning usability tests, or establishing design principles.
Expert agile coaching: framework selection, maturity assessment, retrospective facilitation, transformation roadmaps. Use when selecting an agile framework, coaching teams, facilitating retrospectives, or designing a transformation.
Expert delivery management for release planning, deployment strategy, incident response, change management, SLA/error-budget tracking, and DORA metrics across continuous delivery pipelines.
Program management for multi-project coordination, portfolio governance, dependency tracking, benefits realization, charters, and steering-committee reporting. Use to stand up or run a program and escalate program status.
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
Customer success across onboarding, adoption, retention, and expansion. Use when designing onboarding playbooks, calculating health scores, building QBR decks, planning renewal strategies, or identifying expansion opportunities.
Technical sales engineering: demos, solution design, RFP responses, and POC management. Use when preparing demos, responding to RFPs/RFIs, scoping proof-of-concepts, building battle cards, or handling technical objections.
Sales operations across CRM, analytics, territory planning, and compensation. Use when building pipeline reports, designing territories, setting quotas, creating comp plans, or auditing CRM data quality.
Solutions architecture for technical pre-sales. Use when running technical discovery, designing integration architectures, running security assessments, scoping proof-of-concepts, or writing solution architecture documents.
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