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aecfb8e0bb
marketing: context-file unified on .claude/product-marketing-context.md;
ai-seo merged into aeo (2 new cited references, folder deleted); index +
marketing-ops routers rebuilt honestly; 24 orphan scripts wired with exact
CLIs; prompt-engineer-toolkit stub references rewritten with cited content;
Meta 20%-rule + GA4 terminology freshness; 5 zips + 3 planning docs removed
c-level-advisor: role registry 9->14 across all 6 routing surfaces; decision
memory unified on ~/.claude/decisions/{raw,approved}; onboarding schema
canonicalized; 12 phantom commands resolved; index repaired (33/37/68 real
counts); ma-playbook sourced + verification loop; 28 trigger descriptions
engineering(+team): agent-designer 279->76 lines and rag-architect 318->71
lines rebuilt around their tools (stale ada-002/pricing gone); release-manager
merged into changelog-generator (version_bumper + hotfix refs moved, crashing
release_planner dropped); 6 skills' orphan scripts wired; ms365 tools gained
real CLIs; 5 brochure skills de-filled; 4 unreferenced zips removed;
bundle counts trued (25->37, 23->32); 18 trigger descriptions
product/research/compliance/bizops: apple-hig-expert rebuilt around
hig_checker's real CLI with web-verified facts; notebooklm re-verified against
live product; 5 index skills converted to honest routers; research-summarizer
repaired with explicit lane statement; 8 over-1024 descriptions compressed;
9 sub-skills gained fenced CLI examples; GDPR one-month (Art. 12(3)) with
calendar-month deadline math; MDR PSUR table per Art. 86(1); 12 ra-qm zips
removed; 24 trigger descriptions
Verified: check_paths 0 findings; check_dual_publish 0 drifted; smoke 581/581;
check_plugin_json 77 OK; compileall rc=0; all descriptions <=1024 chars
https://claude.ai/code/session_019AJddAL1NADWMXsy1qNPQF
4.4 KiB
4.4 KiB
| name | description | license | metadata | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| context-engine | Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context during conversations, and enforces privacy/anonymization rules before external API calls. Use when starting any C-suite advisor session, when context looks stale or missing, or before sending company data to an external service. | MIT |
|
Company Context Engine
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.
- If continue: load with
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