ai-marketing
$
npx mdskill add arcasilesgroup/ai-engineering/ai-marketing``` /ai-marketing blog "topic" # public-facing blog post /ai-marketing crosspost # syndicate latest post across platforms /ai-marketing research "competitor" # market research /ai-marketing investor-deck # investor pitch /ai-marketing x-api # post to X/Twitter ```
SKILL.md
.github/skills/ai-marketingView on GitHub ↗
--- name: ai-marketing description: "Drives go-to-market execution and marketing content: blog posts for distribution, social crossposts, investor materials, market research, outreach campaigns, X/Twitter automation. Trigger for 'go to market', 'marketing plan', 'write a blog post to publish', 'crosspost to socials', 'market research for', 'investor deck', 'outreach campaign', 'content engine'. Not for internal docs; use /ai-docs instead. Not for sprint reviews or solution intent; use /ai-prose instead." effort: mid argument-hint: "[mode] [topic]" mode: agent tags: [gtm, marketing, content, social, investor, go-to-market] model_tier: sonnet mirror_family: copilot-skills generated_by: ai-eng sync canonical_source: .claude/skills/ai-marketing/SKILL.md edit_policy: generated-do-not-edit --- # Marketing ## Quick start ``` /ai-marketing blog "topic" # public-facing blog post /ai-marketing crosspost # syndicate latest post across platforms /ai-marketing research "competitor" # market research /ai-marketing investor-deck # investor pitch /ai-marketing x-api # post to X/Twitter ``` ## Workflow Router skill for marketing content and go-to-market execution. Dispatches to handler files based on content type. 1. Detect mode (blog / crosspost / research / investor / outreach / x-api). 2. Load relevant handler. 3. Apply audience tone (public, never internal). 4. For social: schedule + monitor. ## When to Use - Platform-native social content and repurposing cascades. - Multi-platform content distribution. - Market research and competitive analysis. - Investor pitch decks, one-pagers, financial models. - Investor outreach (cold emails, warm intros, follow-ups). - X/Twitter API automation. ## When NOT to Use - Internal documentation (README, CHANGELOG, API docs) -- use `/ai-docs` - Reports, solution intent, architecture board docs -- use `/ai-prose` - Code explanations -- use `/ai-explain` ## Routing | Sub-command | Handler | Purpose | |-------------|---------|---------| | `content-engine` | `handlers/content-engine.md` | Platform-native social content with repurposing cascade | | `crosspost` | `handlers/crosspost.md` | Multi-platform content distribution and adaptation | | `market-research` | `handlers/market-research.md` | Research-to-decision synthesis (diligence, competitive, sizing) | | `investor-materials` | `handlers/investor-materials.md` | Pitch decks, one-pagers, financial models, applications | | `investor-outreach` | `handlers/investor-outreach.md` | Cold emails, warm intros, follow-ups | | `x-api` | `handlers/x-api.md` | X API v2 posting, threads, media | If no sub-command is provided, display the routing table above and ask the user which mode to use. ## Quick Reference ``` /ai-marketing content-engine # platform-native social content /ai-marketing crosspost # multi-platform distribution /ai-marketing market-research # research synthesis (diligence, competitive, sizing) /ai-marketing investor-materials # pitch deck, one-pager, financial model /ai-marketing investor-outreach # cold email, warm intro, follow-up /ai-marketing x-api # post to X/Twitter via API ``` ## Examples ### Example 1 — public blog post for distribution User: "write a blog post about how we shipped our DAG planner" ``` /ai-marketing content-engine "DAG-based parallel agent planning" ``` Picks public-facing tone, structures for SEO, includes social hooks for crosspost. ### Example 2 — crosspost to socials User: "syndicate the latest blog post" ``` /ai-marketing crosspost ``` Reads the latest published blog post, generates platform-specific variants (X thread, LinkedIn long-form, Mastodon), schedules. ## Integration Calls: x-api handler (X/Twitter), platform-specific handlers. See When NOT to Use for boundaries with `/ai-docs`, `/ai-prose`, `/ai-explain`. See also: `/ai-prose` (sprint review, solution intent), `/ai-visual` (visual collateral). $ARGUMENTS
More from arcasilesgroup/ai-engineering
- ai-adviseProactive governance advisor — checks standards, decisions, and quality trends during development. Always advisory, NEVER blocks. Three modes: `advise` (post-edit), `gate` (pre-dispatch), `drift` (on-demand decision audit). Trigger for 'governance check', 'advise on this change', 'check for drift', 'is this aligned with active decisions', 'shift-left advisory'. Not for blocking gates — use /ai-verify. Not for narrative code review — use /ai-review.
- ai-analyze-permissionsUse when Claude Code keeps asking to approve commands you have already approved, when settings.local.json has grown large, or when you want to consolidate permission grants into wildcard patterns. Trigger for 'too many permission prompts', 'clean up permissions', 'audit my settings', 'consolidate allow rules'. Claude Code only — not available in GitHub Copilot, Antigravity, or Codex.
- ai-animationDesigns motion, transitions, and micro-interactions for UI components: spring animations, gestures, easing, staggers — taste-driven detail compounding. Trigger for 'animate this', 'add transitions', 'micro-interactions for', 'gesture design', 'swipe to dismiss', 'easing for this', 'stagger the'. Not for design systems; use /ai-design instead. Not for visual art; use /ai-visual instead. Not for testing animation code; use /ai-test instead.
- ai-autopilotDelivers large multi-concern specs and backlog runs autonomously: decomposes specs into sub-specs (or normalizes work items into a backlog DAG), deep-plans with parallel agents, builds a dependency DAG, implements in waves, runs a single final quality loop with one bounded quality-remediation pass (verify+guard+review on full changeset), delivers via PR. Trigger for 'implement spec-NNN end to end', 'autopilot this', 'autonomous delivery', 'decompose and ship', 'run the backlog', 'execute these GitHub issues', 'process the sprint backlog'. Invocation is the approval gate. Not for small or single-concern tasks; use /ai-build instead. Not for ambiguous requirements; use /ai-brainstorm first.
- ai-boardOperates the project board (GitHub Projects v2 or Azure DevOps): discovers configuration after install (fields, state mappings, process templates) and syncs work-item state at lifecycle transitions. Trigger for 'set up the board', 'configure our ADO board', 'discover board fields', 'move this issue to in-review', 'update the board', 'mark as in progress', 'sync the work item state'. Two subcommands: `discover` (post-install configuration write) and `sync` (lifecycle state transitions). Auto-invoked via `sync` by /ai-brainstorm, /ai-build, and /ai-pr; fail-open. Not for backlog execution; use /ai-autopilot --backlog instead.
- ai-brainstormForces rigorous design interrogation BEFORE any code: explores approaches, surfaces ambiguity, gathers evidence, produces an approved spec that becomes the contract for /ai-plan. Trigger for 'lets add X', 'how should we handle Y', 'whats the best approach', 'I am thinking about', 'what should we build for'. Not for existing approved specs; use /ai-plan instead. Not for execution; use /ai-build instead.
- ai-branch-cleanupCleans branches safely: switches to the default branch, prunes merged and squash-merged branches, syncs to remote, sweeps stale specs, rotates `.ai-engineering/runtime/` per retention policy. Trigger for 'tidy up', 'tidy branches', 'sync to main', 'delete old branches', 'start fresh', 'rotate runtime'. Auto-invoked by /ai-pr after merge. Not for committing changes; use /ai-commit instead. Not for code-level dead-code removal; use /ai-simplify instead.
- ai-buildCanonical implementation gateway: reads approved plan.md, resolves stack from manifest, deterministic-routes each task to its adapter, dispatches the build agent in an isolated worktree, runs TDD self-validation per task, then a single final quality loop with one bounded quality-remediation pass on the full changeset before /ai-pr. Trigger for 'go', 'start building', 'execute the plan', 'implement it', 'lets do this', 'build the plan', 'resume', 'continue'. Not without an approved plan; run /ai-plan first. Not for multi-concern specs needing decomposition; use /ai-autopilot instead. Not for a single function or subcomponent; use /ai-code.
- ai-codeWrites production code that satisfies stack-context standards on the first pass: interface-first design, backward-compatibility checks, lightweight self-review. Trigger for 'implement this', 'write the code for', 'add X to Y', 'build this function', 'make this work'. Not for tests; use /ai-test instead. Not for debugging; use /ai-debug instead. Not for refactoring; use /ai-simplify instead. Not for executing an approved plan end-to-end; use /ai-build (the gateway).
- ai-commitRuns the governed commit pipeline: auto-branches from protected, stages selectively, formats and lints, scans for secrets, gates docs, composes a conventional message, pushes. Trigger for 'commit my changes', 'save my work', 'push this to remote', 'stage these files', 'ship it'. Not for opening a PR; use /ai-pr instead. Not for branch hygiene; use /ai-branch-cleanup instead.