Claude Skills by thedixitjain

Compile or lint a persistent Mayor-style

Use when a repo has no AGENTS.md and an AI coding agent needs onboarding context, or the user asks to generate onboarding files. Produces AGENTS.md (cross-agent), a CLAUDE.md wrapper, and the .aiboarding lifecycle (state, config, hooks). Fallback target when the session-start hook reports missing onboarding files.

Create new agents for the code-forge application. Agents are stored as .md files in the <cwd>/.forge/agents directory with YAML frontmatter (id, title, description, reasoning, tools, user_prompt) and markdown body containing agent instructions. Use when users need to add new agents, modify existing agents, or understand the agent file structure.

Prompt for generating an AGENTS.md file for a repository

DEPRECATED alias for create-agent-onboarding (kept so /create-aiboarding keeps resolving). Prefer create-agent-onboarding, which generates AGENTS.md + CLAUDE.md instead of the legacy AIBOARDING.md.

Create handoff document for transferring work to another session

Create a governed session override for a policy that would otherwise deny — mandatory justification, server-clamped TTL, blocked for critical-risk policies

Scaffold a new Claude Code plugin with proper directory structure, plugin.json, skills, commands, and agents

Deconstructs high-performing or viral videos to extract actionable creative insights from metadata and transcript.

Competitive analysis ending in a clear positioning call — where to play, how to win. Use when asked to \"analyze competitors\", \"competitive landscape\", \"how do we compare to X\", \"competitive positioning\", \"where should we play\", \"find our white space\", or \"who else does this\".

Strategic context reconnaissance — read existing roadmaps, OKRs, competitive docs, and briefs to establish context before planning. Use when asked to \"understand our strategy\", \"what's the current roadmap\", \"what OKRs do we have\", \"strategic context\", or before starting any prioritization or roadmap work.

Product strategist — roadmaps, competitive analysis, OKRs, strategic narratives.

Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies.

HarnessX Critic (Tier 2.1) — adversarial review of evolved-skill proposals against trace evidence. Detects reward hacking and manifest/evidence contradictions. Out-of-band LLM counterpart to the in-loop deterministic critic in src/evolve/critic.rs.

/cs:cross-eval <memo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation. Use when a high-stakes memo needs an independent sanity check before the boardroom — e.g. a bet-the-company pivot or fundraise terms.

../../../c-level-advisor/c-level-agents/skills/cross-eval/SKILL.md

| Quality gate via second model. Spawn a different AI model to review work before committing. Includes refusal routing: if one model refuses, switch silently to the next. Extended in v0.25.1 with structured review-mode gating (when to invoke vs not) and a Codex code-review handoff for the diff-review case.

Production-tested patterns for building AI agents that autonomously discover, > evaluate, and acquire token listings for cryptocurrency exchanges.

| Run context-mode diagnostics. Checks runtimes, hooks, FTS5, plugin registration, npm and marketplace versions. Trigger: /context-mode:ctx-doctor

| Show how much context window context-mode saved this session. Displays token consumption, context savings ratio, and per-tool breakdown. Read-only — shows stats only, no reset capability. To wipe the knowledge base entirely, use ctx_purge instead. Trigger: /context-mode:ctx-stats

| Update context-mode from GitHub and fix hooks/settings. Pulls latest, builds, installs, updates npm global, configures hooks. Trigger: /context-mode:ctx-upgrade

'Advanced Cursor Composer techniques: agent mode, parallel agents, complex refactoring, and multi-step orchestration. Triggers on \"advanced composer\", \"composer patterns\", \"multi-file generation\", \"composer refactoring\", \"agent mode\", \"parallel agents\". '

'Master Cursor AI Chat with @-mentions, inline edit, and conversation patterns. Triggers on \"cursor chat\", \"cursor ai chat\", \"ask cursor\", \"cursor conversation\", \"chat with cursor\", \"Cmd+L\", \"inline edit\". '

'Optimize context window usage in Cursor with @-mentions, context pills, and conversation strategy. Triggers on \"cursor context\", \"context window\", \"context limit\", \"cursor memory\", \"context management\", \"@-mentions\", \"context pills\". '

'Configure and select AI models in Cursor for Chat, Composer, and Agent mode. Triggers on \"cursor model\", \"cursor gpt\", \"cursor claude\", \"change cursor model\", \"cursor ai model\", \"cursor auto mode\". '

Create and adapt Dynamic Agentic Architecture agents that learn and evolve

Fetches articles from 92 Karpathy-curated RSS feeds, scores them with an LLM, selects the top 3, and delivers a formatted digest to Telegram every morning.

Provides a high-signal briefing on events in a specific location and timeframe, backed by primary video sources and transcripts.

Produce a concise read-only Agiflow status summary covering completed work, work in progress, blockers, and recommended next priorities. Use for daily standups, morning checks, stakeholder updates, or a quick project pulse.

> Use this skill when creating today's daily note in the Meta-Vault (03-daily/YYYY-MM-DD.md) with valid vaultFrontmatterSchema-compliant YAML frontmatter. Idempotent: re-running on the same day opens the existing note instead of overwriting. Use when starting a work day, capturing scratch notes, or bootstrapping the inbox flow.

Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.

构建一个全自动化的AI驱动数据收集代理，适用于任何公共来源——招聘网站、价格信息、新闻、GitHub、体育赛事等任何内容。按计划进行抓取，使用免费LLM（Gemini Flash）丰富数据，将结果存储在Notion/Sheets/Supabase中，并从用户反馈中学习。完全免费在GitHub Actions上运行。适用于用户希望自动监控、收集或跟踪任何公共数据的场景。

Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.

任意のパブリックソース（ジョブボード、価格、ニュース、GitHub、スポーツなど）用の完全自動化されたAI搭載データ収集エージェントを構築します。スケジュールでスクレイプし、無料LLM（Gemini Flash）でデータを豊かにし、Notion/Sheets/Supabaseに結果を保存し、ユーザーフィードバックから学習します。GitHub Actions上で100％無料で実行。ユーザーがパブリックデータを自動的に監視、収集、または追跡したい場合に使用します。

> Produce a chart, graph, dashboard, or any data visualization that reads as one system — elegant, accessible, and consistent in light and dark — BRAND-NEUTRAL, shipping a placeholder palette to swap for your own. Read this BEFORE generating ANY chart (bar, line, area, heatmap, scatter, sparkline, donut), choosing chart colors, building a stat tile / meter / KPI row, or laying out a dashboard. Teaches a design-system-AGNOSTIC method: a form heuristic, a color formula with a runnable validator...

Query and filter Datadog logs from the shell using the Composio CLI. Run scoped log searches, pivot across services/environments, and export structured JSON for downstream agents instead of click-driving the Datadog UI.

Create a database migration with Drizzle on a fresh Neon branch. Use when changing the packages/db schema or generating migrations.

Handle blocked destructive commands and

Close a specific deal — diagnose why a deal is stalling, write a tailored proposal, design the closing sequence, or navigate procurement. Use when a specific deal is stuck, \"how do I close this\", \"write a proposal for this customer\", or \"help me get to yes\".

Write sales playbooks — outbound sequences, discovery call guides, objection handling scripts, and demo frameworks. Use when asked to \"write a sales playbook\", \"build an outbound sequence\", \"help me handle objections\", or \"design a discovery call\".

MEDDPICC-based deal qualification worksheet — guide Deal through structured qualification of any opportunity and produce a filled card + recommended next action. Use when asked to \"qualify this deal\", \"run MEDDPICC on this opportunity\", \"should we pursue this\", or \"is this deal real\".

Revenue reconnaissance — audit current sales pipeline, deal patterns, ICP definition, and revenue motion to understand what's working and where the constraint is. Use when asked to \"audit our sales\", \"where is revenue stuck\", \"what's our pipeline state\", \"before designing a playbook\".

Scan a company or sector for deal-sourcing signals across 6 dimensions. Triggered by: \"/venture-capital-intelligence:deal-sourcing-signals\", \"scan signals for X\", \"what signals is X showing\", \"deal sourcing scan\", \"hiring signals for X\", \"is X raising soon\", \"monitor this company\", \"company signal scan\", \"sourcing brief for X\", \"what is X up to\", \"is X growing\", \"track this company\", \"deal signal report for X\", \"is this company fundraising\", \"what are the momentum...

Extracts the strongest arguments from heated YouTube comment threads, identifying key battlegrounds and community consensus.

> Alias for `/origin:handoff` — symmetric brief/debrief naming. Same behavior: end-of-session ritual that writes session log + project status + granular MCP captures. Invoked as `/debrief`. Use when the user prefers the brief/debrief pair over brief/handoff.

Systematic hook debugging workflow. Use when hooks aren't firing, producing wrong output, or behaving unexpectedly.

/cs:decide <memo> — Log a decision to two-layer memory via decision-logger. Approved memo becomes durable; raw transcripts kept for reference. Use when the founder has approved a boardroom memo and the decision must become durable company memory — e.g. right after /cs:boardroom concludes.

Record a decision: finalized → ADR (optionally rule + guide or spec + plan); open proposal → RFC. Use for 'we decided', 'record this decision', 'make it a standard', 'draft an RFC', 'should we switch to Y'. Not for feature planning or documenting existing code.

../../../c-level-advisor/c-level-agents/skills/decide/SKILL.md

> Create, build, deploy, and localize declarative agents for M365 Copilot and Teams. USE THIS SKILL for ANY task involving a declarative agent — including localization, scaffolding, editing manifests, adding capabilities, and deploying. Localization requires tokenized manifests and language files that only this skill knows how to produce. Triggers: \"create agent\", \"create a declarative agent\", \"new declarative agent\", \"scaffold an agent\", \"new agent project\", \"add a capability\", \...