Results for “team-analysis”

Plan and execute authorized spearphishing simulations for red team engagements, covering pretext development, payload creation, infrastructure setup, campaign execution, and post-campaign analysis.

This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and headcount planning for a startup.

Perform forensic on-chain analysis of EVM tokens to detect scams, rug pulls, and soft rugs by cross-referencing on-chain state against team narratives.

Guide a team through writing a structured, blameless post-mortem after a production incident, covering timeline reconstruction, root cause analysis, impact quantification, and action item generation.

Coordinates a 13-agent team for rigorous academic research on any topic, supporting eight modes from quick briefs to systematic reviews with meta-analysis.

Profiles a competitor's vehicles, teaming posture, and recent award patterns, producing a markdown note for vault capture.

Provides a structured workflow for reverse engineering .NET and C# binaries, including deobfuscation with de4dot, static analysis via dnSpyEx IL view, dynamic debugging, and reliable IL patching for red-team tools and malware.

Guide teams through MITRE's Problem Framing Canvas to clarify problem statements before jumping to solutions.

Analyzes requirements and produces four artifact files: requirements, user stories, acceptance criteria, and business rules, with optional SRS workflow integration.

Query MITRE ATT&CK data programmatically, map APT group TTPs to Navigator layers, create multi-layer overlays for gap analysis, and generate actionable intelligence reports for detection engineering teams.

Audit team performance using the Elon Algorithm (identify A/B/C players) and extract action items from meeting transcripts. Use when asked to "audit team performance", "review my team", "extract meeting actions", "meeting notes to tasks", "team efficiency audit", or "identify underperformers".

Backtests quantitative trading strategies across 9 engines and 25 data sources, analyzes trade journals, and runs multi-agent research teams.

Analyzes requirements and produces four artifact files: requirements.md, user-stories.md, acceptance-criteria.md, and business-rules.md, with optional loading from SRS workflow artifacts.

Designs high-performing team structures using organizational psychology AND creates new skills on-the-fly when team needs unmet expertise. Expert in team composition, personality balancing, collaboration ritual design, and skill creation for missing capabilities. Use for team design, role definition, skill gap identification. Activates on 'team building', 'team composition', 'skills needed', 'what skills'. NOT for general project management or solo work planning.

Coaching Analyst

Ruthless team performance audits (Elon Algorithm) and meeting-to-action extraction. Use for performance audits, meeting action items, or org efficiency reviews.

Structures a Request for Comments (RFC) document for proposing significant technical changes that require cross-team input and approval, guiding authors through problem definition, proposed solution, alternatives analysis, and rollout planning.

Summarize Microsoft Teams conversations, triage unread or recent activity, draft follow-ups, and manage Planner tasks through connected Teams data. Use when the user wants to review chats or channels, identify owners and next steps, prepare a safe reply or post, or turn Teams follow-ups into Microsoft Planner tasks.

Plan, execute, document, and retest authorized security assessments of AI agents and multi-agent workflows using safe adversarial cases, synthetic identities, canaries, and evidence-based findings. Use when defining red-team rules of engagement, assessing prompt injection or excessive agency, testing tool and identity boundaries, evaluating memory or cross-agent attacks, scoring a campaign, or verifying remediation in an approved environment.

Layer 4 of the keyword research pipeline. Spawns a "skeptical SEO" adversarial sub-agent to argue against every survivor of Layers 1-3. Catches mechanical-classifier blind spots — wrong SERP intent, hidden link-graph gauntlets, AIO trajectory shifts, vanity-rank metrics. Same pattern as quality-check's adversarial draft read, applied to keyword selection.

Analyzes meeting transcripts to uncover behavioral patterns, communication insights, and actionable feedback for improving communication and leadership skills.

Derives a comprehensive test plan from user stories and acceptance criteria, then writes unit, integration, and end-to-end test cases. Flags issues in prior artifacts and declares UAT readiness.

Conversation Analyst

Runs a structured security audit across six phases: attack-surface mapping, STRIDE/PASTA threat modeling, technical checklists, red/blue team analysis, and a final verdict, with optional Python automation scripts.

Derives a comprehensive test plan and writes unit, integration, and end-to-end test cases from user stories and acceptance criteria, flagging issues in prior artifacts and declaring UAT readiness.

Use when team expertise is needed to unblock implementation decisions.

Browse available agent personas and compose ad-hoc teams of up to 5 agents to work in parallel on a task, then synthesize their results.

Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.

Analyze closed deals and lost opportunities for patterns

Design telemetry systems, define KPIs, analyze player behavior data, and set up dashboards for data-driven game design decisions. Use when instrumenting a game for analytics or interpreting player data. Also trigger for "game telemetry", "player analytics", "game metrics", "KPIs", "player retention", "funnel analysis", or "player behavior".