Deeply research all systems and create or update blueprints/ documentation for the entire codebase

Manage incident response workflow with Sentry alerts and issue tracking

View CI/CD pipeline status for a merge request or project

Analyze performance metrics and identify slow transactions in Sentry

Check release health and compare error rates across deployments

Research a specific system and create or update its blueprints/ documentation

Create a new Standard Operating Procedure (SOP) file with proper structure

Generate production-ready code from a Figma component or frame using the Figma MCP server

Get comprehensive review of a GitLab merge request

Debug and fix bugs, errors, or unexpected behavior

Investigate recent errors and exceptions in your Sentry projects

Get comprehensive review of a GitHub pull request

View GitHub Actions workflow runs and status

Create a new issue in a GitHub repository

Create a new merge request in a GitLab project

Create a new pull request in a GitHub repository

Load MR context for the current branch using GitLab MCP tools

Load PR context for the current branch using GitHub MCP tools

Resume work on a pull request by loading its context, diff, CI status, and review comments

Search for code across GitHub repositories

Write tests for code using test-driven development principles

Mark a ClickUp task as complete after validating checklist

Create a new ClickUp task interactively

Get detailed information about a specific Linear issue

Show all Linear issues assigned to you

Show all ClickUp tasks assigned to you

Search for ClickUp tasks

Start work on a ClickUp task (transition to In Progress)

Get detailed information about a specific ClickUp task

Get detailed information about a specific Jira ticket

Validate checklist items for a ClickUp task without changing status

Add a comment to a ClickUp task

Show all Jira tickets assigned to you

Apply a voice profile to transform content. Use when the user asks to write in a specific voice, match a tone, or sound like a particular voice profile.

Manage artifact metadata, versioning, ownership, and review history across the SDLC lifecycle

Load, validate, and populate templates consistently across frameworks

Reverse-engineer voice profiles from sample content by analyzing writing patterns

Detect AI-generated writing patterns and suggest authentic alternatives. Use when reviewing or editing content, or when the user mentions authenticity or natural voice.

Configure TDD enforcement via pre-commit hooks and CI coverage gates. Use when setting up test-first workflows or adding coverage gates.

Launch multiple agents concurrently, collect their results, and handle timeouts for fan-out orchestration patterns

Generate custom voice profiles from natural language descriptions by mapping tone, formality, and domain to voice dimensions

Generate or complete intake forms (project-intake, solution-profile, option-matrix) with interactive questioning and optional guidance. INTENDED FOR SUBSTANTIAL NEW WORK — new addons, new frameworks, new tracks, refactors crossing module boundaries — not every feature request. Apply the `sdlc-right-sizing` rule first to determine whether intake is appropriate; most day-to-day features need only an issue and possibly an ADR.

Combine multiple voice profiles with weighted mixing to create hybrid voices

Detect candidate fuzz targets and emit CI recipes for libFuzzer/AFL/cargo-fuzz/atheris/fast-check harnesses, plus OSS-Fuzz integration patterns

Detect language/toolchain and emit CI job recipes that build with runtime sanitizers (ASan/UBSan/MSan/TSan, race detectors, faulthandler)

Guide a reporter through filing a private vulnerability report and route it to the project's configured private channel — never to a public issue tracker

Orchestrate change control workflow with baseline management, impact assessment, CCB review, and communication

Orchestrate compliance validation workflow with requirements mapping, audit evidence collection, gap analysis, remediation tracking, and attestation

Orchestrate Construction→Transition phase transition with IOC validation, production deployment, and operational handover

Orchestrate production deployment with strategy selection, validation, automated rollback, and regression gates

Orchestrate Elaboration→Construction phase transition with iteration planning, team scaling, and full-scale development kickoff

Orchestrate production incident triage, escalation, resolution, and post-incident review using ITIL best practices

Scan existing codebase and generate intake documents by analyzing code, dependencies, and infrastructure. Accepts optional guidance text to tailor analysis.

Ingest the Project Intake Form and kick off Concept → Inception with agent assignments, accepts optional guidance to tailor process

Orchestrate Discovery Track flow to prepare validated requirements and designs one iteration ahead of delivery

Orchestrate hypercare monitoring period with 24/7 support, SLO tracking, and rapid issue response

Orchestrate Inception→Elaboration phase transition with architecture baselining and risk retirement

Orchestrate Knowledge Transfer flow with assessment, documentation, shadowing, validation, and handover

Orchestrate systematic retrospective cycle with structured feedback collection, improvement tracking, and action item management

Orchestrate continuous risk identification, assessment, tracking, and retirement across SDLC phases

Parallel fan-out processing - spawn multiple sub-agents for chunked context processing

Orchestrate cross-team synchronization with dependency mapping, sync cadence, blocker escalation, integration planning, and cross-team demos

Orchestrate continuous performance optimization with baseline establishment, bottleneck identification, optimization implementation, load testing, and SLO validation

Orchestrate living requirements refinement, change control, impact analysis, and traceability maintenance throughout SDLC

Preflight issue bodies for prompt-injection and supply-chain risk before address-issues acts on them

Generate or complete marketing intake forms (campaign-intake, brand-profile, option-matrix) with interactive questioning and optional guidance

Orchestrate architecture evolution workflow with ADR management, architecture review, breaking change analysis, and migration planning

Orchestrate Team Onboarding flow with pre-boarding, training, buddy assignment, and 30/60/90 day check-ins

Orchestrate Concept→Inception phase transition with intake validation and vision alignment

Orchestrate Delivery Track flow with test-driven development, quality gates, and iteration assessment

Orchestrate SDLC phase gate validation with multi-agent review and comprehensive reporting

Detect performance regressions by comparing benchmarks across versions with latency, throughput, and statistical significance analysis

Patterns for acquiring content from Internet Archive and archival sources

yt-dlp patterns for acquiring content from YouTube and video platforms

Orchestrate handoff validation between SDLC phases and tracks (Discovery→Delivery, Delivery→Ops, phase transitions)

Orchestrate dual-track iteration with synchronized Discovery (next) and Delivery (current) workflows

Orchestrate comprehensive test strategy with test suite execution, coverage validation, defect triage, and regression analysis

List and filter tickets/issues from configured backend

Create a new ticket/issue with configurable backend (Gitea, GitHub, Jira, Linear, or local files)

Research-grounded SDLC issue planner — dispatches parallel research, generates the supporting doc corpus, then files prioritized cross-referenced issues for human review.

Generate behavioral specifications (Layer 3) from use cases and architecture documents using multi-agent orchestration

Scan existing campaign materials, media kit, or marketing assets and generate intake documents by analyzing content, brand elements, and performance data

Detect breaking changes in API contracts across REST, GraphQL, and gRPC interfaces with semver enforcement

Address open issues using issue-thread-driven agent loops with 2-way human-AI collaboration

Enable agent loops to learn from similar past tasks and share patterns across loops

Decision aid for choosing AEAD, KDF, MAC, and signature primitives — flags anti-patterns (CBC-without-MAC, ad-hoc KDF, key reuse, PBKDF2-on-high-entropy).

Automatically manage regression test baseline lifecycle triggered by releases, deployments, and quality gates

End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions

Download media from discovered sources with format selection and progress tracking

Update AGENTS.md with project-specific context for Factory AI based on codebase analysis

Refine brand identity through metaphor testing, competitive research, and owner-grounded verification tied to repository reality

Track private vulnerability reports from triage through fix, CVE coordination, embargo, publication, and post-disclosure closure

Detect requests for iterative autonomous agent loops and route to the appropriate loop executor

Update existing ticket/issue with status changes, comments, or field updates

Cross-framework project status aggregator — discovers contributors from installed frameworks, runs declarative detection, produces a unified status report.

Integrate regression testing into CI/CD pipelines with baseline comparison and merge blocking on failure