coding-standards
Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.
connections-optimizer
Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.
Full skill instructions
Reorganize the user's network instead of treating outbound as a one-way prospecting list.
This skill handles:
Collect or infer:
light-pass, default, or aggressiveIf the user does not specify a mode, use default.
x-api for X graph inspection and recent activitylead-intelligence for target discovery and warm-path rankingsocial-graph-ranker when the user wants bridge value scored independently of the broader lead workflowbrand-voice before drafting outboundlight-passdefaultaggressiveUse these positive signals:
Use these negative signals:
Mutuals and real warm-path bridges should be penalized less aggressively than one-way follows.
lead-intelligence plus research surfaces to rank expansion candidates.brand-voice before drafting messages.CONNECTIONS OPTIMIZER REPORT
============================
Mode:
Platforms:
Priority Set:
Prune Queue
- handle / profile
reason:
confidence:
action:
Review Queue
- handle / profile
reason:
risk:
Keep / Protect
- handle / profile
bridge value:
Add / Follow Targets
- person
why now:
warm path:
preferred channel:
Drafts
- X DM:
- LinkedIn:
- Apple Mail:
brand-voice for the reusable voice profilesocial-graph-ranker for the standalone bridge-scoring and warm-path mathlead-intelligence for weighted target and warm-path discoveryx-api for X graph access, drafting, and optional apply flowscontent-engine when the user also wants public launch content around network movesBaseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.
Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants the task executed directly, or says "just do it" / "直接做". DO NOT TRIGGER when user says "优化代码", "优化性能", "optimize performance", "optimize this code" — those are refactoring/performance tasks, not prompt optimization.
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