firefrost-gaming/claude-skills-reference

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Reza Rezvani 2f57ef8948 feat(agenthub): add AgentHub plugin with cross-domain examples, SEO optimization, and docs site fixes

- AgentHub: 13 files updated with non-engineering examples (content drafts,
  research, strategy) — engineering stays primary, cross-domain secondary
- AgentHub: 7 slash commands, 5 Python scripts, 3 references, 1 agent,
  dry_run.py validation (57 checks)
- Marketplace: agenthub entry added with cross-domain keywords, engineering
  POWERFUL updated (25→30), product (12→13), counts synced across all configs
- SEO: generate-docs.py now produces keyword-rich <title> tags and meta
  descriptions using SKILL.md frontmatter — "Claude Code Skills" in site_name
  propagates to all 276 HTML pages
- SEO: per-domain title suffixes (Agent Skill for Codex & OpenClaw, etc.),
  slug-as-title cleanup, domain label stripping from titles
- Broken links: 141→0 warnings — new rewrite_skill_internal_links() converts
  references/, scripts/, assets/ links to GitHub source URLs; skills/index.md
  phantom slugs fixed (6 marketing, 7 RA/QM)
- Counts synced: 204 skills, 266 tools, 382 refs, 16 agents, 17 commands,
  21 plugins — consistent across CLAUDE.md, README.md, docs/index.md,
  marketplace.json, getting-started.md, mkdocs.yml
- Platform sync: Codex 163 skills, Gemini 246 items, OpenClaw compatible

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-17 12:10:46 +01:00

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title, description

title	description
Company Context Engine — Agent Skill for Executives	Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches. Agent skill for Claude Code, Codex CLI, Gemini CLI, OpenClaw.

Company Context Engine

:material-account-tie: C-Level Advisory :material-identifier: `context-engine` :material-github: Source

Install: claude /plugin install c-level-skills

The memory layer for C-suite advisors. Every advisor skill loads this first. Context is what turns generic advice into specific insight.

Keywords

company context, context loading, context engine, company profile, advisor context, stale context, context refresh, privacy, anonymization

Load Protocol (Run at Start of Every C-Suite Session)

Step 1 — Check for context file: ~/.claude/company-context.md

Exists → proceed to Step 2
Missing → prompt: "Run /cs:setup to build your company context — it makes every advisor conversation significantly more useful."

Step 2 — Check staleness: Read Last updated field.

< 90 days: Load and proceed.
≥ 90 days: Prompt: "Your context is [N] days old. Quick 15-min refresh (/cs:update), or continue with what I have?"
- If continue: load with [STALE — last updated DATE] noted internally.

Step 3 — Parse into working memory. Always active:

Company stage (pre-PMF / scaling / optimizing)
Founder archetype (product / sales / technical / operator)
Current #1 challenge
Runway (as risk signal — never share externally)
Team size
Unfair advantage
12-month target

Context Quality Signals

Condition	Confidence	Action
< 30 days, full interview	High	Use directly
30–90 days, update done	Medium	Use, flag what may have changed
> 90 days	Low	Flag stale, prompt refresh
Key fields missing	Low	Ask in-session
No file	None	Prompt /cs:setup

If Low: "My context is [stale/incomplete] — I'm assuming [X]. Correct me if I'm wrong."

Context Enrichment

During conversations, you'll learn things not in the file. Capture them.

Triggers: New number or timeline revealed, key person mentioned, priority shift, constraint surfaces.

Protocol:

Note internally: [CONTEXT UPDATE: {what was learned}]
At session end: "I picked up a few things to add to your context. Want me to update the file?"
If yes: append to the relevant dimension, update timestamp.

Never silently overwrite. Always confirm before modifying the context file.

Privacy Rules

Never send externally

Specific revenue or burn figures
Customer names
Employee names (unless publicly known)
Investor names (unless public)
Specific runway months
Watch List contents

Safe to use externally (with anonymization)

Stage label
Team size ranges (1–10, 10–50, 50–200+)
Industry vertical
Challenge category
Market position descriptor

Before any external API call or web search

Apply references/anonymization-protocol.md:

Numbers → ranges or stage-relative descriptors
Names → roles
Revenue → percentages or stage labels
Customers → "Customer A, B, C"

Missing or Partial Context

Handle gracefully — never block the conversation.

Missing stage: "Just to calibrate — are you still finding PMF or scaling what works?"
Missing financials: Use stage + team size to infer. Note the gap.
Missing founder profile: Infer from conversation style. Mark as inferred.
Multiple founders: Context reflects the interviewee. Note co-founder perspective may differ.

Required Context Fields

Required:
  - Last updated (date)
  - Company Identity → What we do
  - Stage & Scale → Stage
  - Founder Profile → Founder archetype
  - Current Challenges → Priority #1
  - Goals & Ambition → 12-month target

High-value optional:
  - Unfair advantage
  - Kill-shot risk
  - Avoided decision
  - Watch list

Missing required fields: note gaps, work around in session, ask in-session only when critical.

References

references/anonymization-protocol.md — detailed rules for stripping sensitive data before external calls

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