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LinkedIn Post
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LinkedIn Content Series
Initialize a working session. Loads full workspace context (personal info, business, strategy, current data, pipeline, key contacts, datastore index), runs CRM and sync health checks, surfaces what needs attention, and lists available skills with recommendations for the day. Use at the start of every working session. NEVER auto-trigger from natural language - this is an explicit "/prime" command only.
Parse documents (PDF, DOCX, PPTX, XLSX) with spatial bounding boxes via LiteParse. Answer questions with visual citations showing exact source locations on page images. Generate 31C-branded HTML/PDF reports. Maintains a parse cache for efficiency. Use when: "parse this document", "docparse", "visual citations", "show me where it says", "document analysis with citations", "parse with bounding boxes", "extract from this PDF". NOT for: plain text extraction without spatial data (use datastore-extract.py), email analysis (use /email-intel), web scraping (use /playwright or /firecrawl).
Market or regional intelligence brief for a sector or geography - TAM/sizing, competitive landscape, regulatory environment, entry timing, and 31C positioning, framed through the sovereign/DPI+ lens. Use for sector- or region-level analysis, not a single company. Trigger when the user says "market intel", "market for [sector]", "regional analysis", "sector overview", or "TAM for [sector]". Do NOT use for a specific named company (use /competitor-intel or /osint) or global geopolitical briefs (use /ceo-intel).
Structured sequential thinking engine for complex reasoning, multi-variable decisions, and strategy under uncertainty. Breaks problems into numbered thought steps with revision and branching support. Replaces the Sequential Thinking MCP server with visible, challengeable reasoning tailored to CEO decision-making. Engage this skill PROACTIVELY -- without waiting for the user to ask -- whenever a problem involves multi-variable decisions, contradictory signals, high-stakes reasoning, strategy under uncertainty, or when you catch yourself making unexamined assumptions. Use when the user says "think through this", "break this down", "reason through", "what are we missing", "think step by step", "structured thinking", "analyze this carefully", "help me think about", "deep think", or any request requiring deliberate multi-step reasoning before action. This is the thinking engine that precedes and sharpens every other skill.
Document-level STRUCTURAL editor for long deliverables. Reviews a draft's argument architecture -- section ordering, claim-to-evidence linkage, hierarchy, redundancy, buried lede, missing sections -- and proposes CUT / MERGE / MOVE / CONDENSE / SPLIT / ADD / PROMOTE / PRESERVE operations with word-savings estimates, BEFORE any sentence is touched. Content is sacrosanct: it reorganizes, it never argues with the ideas. Phase 2 hands all sentence-level work (rhythm, specificity, vocabulary) to the always-on humanization.md prose rule -- it never duplicates that. Use when the user says "editorial pass", "structural review", "review the structure of this", "tighten this document", "restructure this draft", or wants a long proposal / brief / report's argument arc checked. Do NOT use for: sentence-level prose / "make this sound human" (that is humanization.md), typo or grammar fixes (sanitize-text + humanization-check), fact-checking (/validate), artifact grading (/evaluate), short chat replies, or atomic /zk notes.
Based on SOC occupation classification
| name | linkedin-post |
| description | LinkedIn Post |
| argument-hint | [topic] |
| allowed-tools | Read |
| metadata | {"author":"Misha Hanin","email":"misha.hanin@odinix.com","version":"1.2"} |
| x-heading-orchestration | {"parallel_safe":true,"shared_state":[],"triggers":["linkedin post","draft a post about","write a post"]} |
| x-heading-capability | {"what":"Drafts a single LinkedIn post in Misha's authentic voice - standalone hook, observation-to-insight arc, and a thought-provoking close (no CTA). Returns alt openers, hashtags, and a posting-time suggestion.\n","how":"Run /linkedin-post <topic>. Reads the voice guide and validates any facts against the datastore; produces the draft inline (read-only, does not publish).\n","when":"Use for one post. For a multi-post plan across the week use /linkedin-series; to archive a post after publishing use /linkedin-archive.\n"} |
| x-heading-routing | {"category":"Content","triggers":["linkedin post","draft a post about","write a post"],"exclusions":["Multi-post planning -> /linkedin-series"],"compound":"Yes: Weekly Content","router":"auto"} |
Draft a LinkedIn post in Misha Hanin's authentic voice.
topic: [What is this post about?] angle: [What's the specific angle, insight, or counterintuitive point?] context: [Any specific details, data points, events, or recent observations to include] length: short (~150 words) | medium (~300 words) | long (~500 words) — default: medium
Customization (optional, Phase 0). This skill is customization-aware (pilot). Resolve any per-exec overrides first: python "${CLAUDE_PLUGIN_ROOT}"/scripts/resolve_customization.py --skill .claude/skills/linkedin-post. Apply any activation_steps_prepend, persistent_facts (e.g. a default length or recurring narrative), and output-path overrides from the merged result. On any failure, proceed with the defaults below — never block. Layout + authoring guide: config/skill-custom/README.md.
Before drafting, read:
reference/misha-voice.md — Complete voice guide (especially the LinkedIn section)datastore/content/linkedin-archive/old-archive/goal-is-a-cage.md — Best example of Misha's LinkedIn writingcontext/business-info.md — 31C positioning and ODUN.ONE contextdatastore/INDEX.md — If the post contains specific facts or numbers, validate against source documentsDraft a LinkedIn post that:
After the draft, provide: