Claude/ChatGPT Skills.

Your structure, teams, programs, events, research, membership, tools, and key people. Ships a header-only staff-directory CSV and meta file so you can wire up an auto-synced roster instead of hand-maintaining a staff list.

+ 3 reference files: staff-directory.example.csv, staff-directory.meta.example.json, program-roster.example.md

Naming rules, colors, fonts, a messaging house, brand archetype, tone by content type, logo usage, sub-brand hierarchy, boilerplate, and document formatting. Ships a dependency-free linter whose word lists live in an editable JSON config.

+ 1 script: lint.py (organizational copy), 1 config: lint-rules.example.json

Web research with structured findings and cited sources.

Fires before any search or fetch and routes it: parallel-search for breadth, Exa for semantic and find-similar, Perplexity for cited synthesis, Jina for fetch, Firecrawl for JS and anti-bot.

Profiles, posts, people, companies, employees. Free local MCP by default, Apify for bulk and contact enrichment.

+ 2 reference docs: linkedin-mcp.md, apify-fallback.md

Posts and comments via Apify: single post, subreddit browse, user, or keyword search. Returns structured data.

Turns a target profile or a company name into a ranked, evidence-backed list of prospects with the right person to contact and a reason to reach out. Read-only against the CRM: it hands the list to you, and you decide what enters the record.

Fires before any multi-part task and routes gathering, reading, and bulk work to cheaper worker models, escalating only when it helps. Checks which subagent types are actually installed before assuming a role exists, and gives each worker exclusive ownership of its sources so two of them never redo the same search.

Convenes a panel of opinionated personas that critique a decision independently, in parallel, before you commit. Each member is briefed against named conditions instead of being told to find problems, which is what makes the panel return a bounded list and stop. Concept adapted from Wade Foster's war-council, MIT.

The GPT edition. Same routing discipline, on Luna, Sol, and Astra instead of Haiku, Sonnet, and Opus, resolved from Codex's live model catalog at install time. Ships nine Codex agent templates and an installer that stages each one and skips anything already present, so re-running it never overwrites your edits.

+ 9 Codex agent templates (.toml), 1 installer: install-codex-agents.sh, 1 hosted-agent definition: openai.yaml

The GPT edition of the panel, including a disclosed fallback: with no subagent capability at all it role-plays the members in sequence and says so, because sequential members read each other and converge, which kills the independence the panel is for.

+ 1 hosted-agent definition: openai.yaml

Blog posts, newsletter articles, thought leadership, one-pagers, and web copy in your brand voice.

Content pillars, audience matrices, editorial calendars, distribution plans, and KPIs.

Wire-ready press releases with QA checklists, editor's notes, and source verification.

Turns program results, member outcomes, or experiment data into case studies.

Emails by audience type: internal, clients, executives, prospects.

Event promo: email invitations, social posts, one-pagers, and sponsor or speaker outreach.

Name the audience and the matching persona applies itself, no need to define it in the prompt. Personas adjust what to emphasize and how deep to go; they leave the tone alone.

Person-to-person writing in the sender's own voice: email, chat, replies, memos, personal posts. The sender's own samples and stated preferences outrank this skill, which only fills gaps. Strips AI tells mechanically and structurally.

+ 1 reference: voice-profile-template.md, 1 script: lint.py (personal voice)

The gate before anything ships. Every specific claim has to trace to a source read in this session, because recall is not a source and being fairly sure is the exact state in which errors get written confidently. Sorts the claims, refuses the unsourced ones, and hands a heavy load to the fact-checker agent.

+ 2 references: claim-types.md, fact-checker-brief.md, 1 script: claim-scan.py

Meeting briefs: attendee research, relationship context, agenda, and talking points.

Segmented follow-ups from a transcript or notes: different messages for attendees, no-shows, speakers, internal teams.

Formats findings into board updates, member summaries, or public-facing briefs.

Summarizes a channel: decisions, action items, and key threads.

New mail, sent mail still awaiting a reply, today's calendar, and what you still owe people, sorted Urgent / Needs Reply / FYI. Replaces twenty minutes of scrolling with a sixty-second read. Adapts to whichever mail and calendar tools are connected.

Sweeps the past week across meetings, mail, and chat, then force-ranks the five to ten topics a leadership team has to resolve together. Most agendas list everything that happened; this one keeps only what needs a decision.

Tracks what you promised across many meetings over time, suppresses what is already handled, and returns the ten that matter. The model does the extraction and an append-only ledger holds the state, so a scheduled run never repeats itself.

+ 1 script: ledger.py, 1 config: config.example.json

Creates and manages Asana tasks in your project structure and naming conventions.

Answers "where is it": search strategy and which kind of file lives where, across SharePoint, Google Drive, or Notion. Everything past locating a file is document-storage, deliberately split so the two do not compete to load.

Read, edit, upload, and set up local sync, across Microsoft 365 or Google Drive. Includes the lock-file check before writing to a synced folder, which is where a silent overwrite comes from.

Plans program, product, research, or event launches end to end: scoping, stakeholders, phased rollout, go-to-market, and weekly tracking.

+ 1 template: project-brief.md

Designs Zaps from a plain-English description: architecture, Copilot prompts, cost analysis, naming and folder conventions, and shared connections so nobody reconnects an app the org already shares. Reads the trigger and action logic back in plain language before building anything.

Turns the notes someone already has, in Apple Notes, Evernote, Notion, or Granola, into an Obsidian vault, then helps organize it. The vault is personal and has nothing to do with the company. It covers the reasons people give for quitting Obsidian in 16 r/ObsidianMD threads.

+ 5 reference docs, 1 starter note, 1 script: vault.py

How someone with no seat on your skills repo gets a wrong skill fixed. Prose feedback leaves all the work to the maintainer and sits in a queue; this skill attaches a unified diff to the complaint, and every correction has to cite a named source.

+ 1 script: proposal.py

Install in Claude Code. Sends work out to the Codex CLI under six pinned task classes, each mapped to a model tier (GPT-6 Astra, Sol, or Luna) with effort and sandbox fixed per class. Tiers resolve against Codex's live model catalog, so a new release is picked up with no edit. The wrapper owns every flag, so the model classifies but never picks them.

+ 3 shell scripts: codex-run.sh (the wrapper), codex-models.sh (resolves each tier to a model), codex-guard.sh (a guard against raw CLI calls)

Install in Codex. The mirror image: sends work out to the Claude Code CLI across Haiku, Sonnet, and Opus under the same six classes. Read-only classes get no shell at all, so a worker cannot write even through Bash.

+ 2 shell scripts: claude-run.sh (the wrapper), claude-guard.sh (the matching guard)