| name | investment-operations-review-checklist |
| description | Family office: Produce a checklist for an ongoing investment operations review — custody, reconciliation, fee verification, performance reporting. |
Family Office · Investment Operations Review Checklist
For Claude: How to Use This Skill
Skill instructions are preloaded in context when this skill is active. Do not
perform filesystem searches or tool-driven exploration to rediscover them; use
the guidance below directly.
When to Use
Invoke when the advisor asks about:
- investment operations review
- ops review
- custody check
- reconciliation review
Customer Pain (VOC)
Synthesized from family-office operator interviews (see references/voc-evidence.md for full provenance):
- Monthly reconciliation is too slow — cadence needs to tighten — [f4vwiAXPj3s @ 12:41]
- Hedge-fund principal still needs fund-admin to handle subscription docs and transactions — [f4vwiAXPj3s @ 09:30]
- Investment ledgers plus supporting documents are now one queryable dataset — [f4vwiAXPj3s @ 23:19]
- Capital calls still arrive over email across the alts industry — [f4vwiAXPj3s @ 25:23]
- Investment team rarely coordinated with insourced or outsourced tax planning — [HV86G3RCPV0 @ 20:07]
Artifact Specification
This skill produces a single named deliverable:
- Artifact:
Investment Operations Review Checklist
- Format at this iteration: markdown (
artifact.md) plus a structured
interview.json capturing every advisor input. PDF / DOCX / XLSX companion
renders and DMS / Snowflake push land in the execution-pipeline PR tracked
under issue #427.
The artifact is written to a skill-local path, not a global directory:
<invocation-cwd>/artifacts/family-office/investment-operations-review-checklist/<YYYYMMDD-HHMMSS>/
artifact.md
interview.json
manifest.json
Interview Inputs
Minimum-viable interview — the skill asks only what is needed to personalize
the deliverable. Pre-fill rules against family memory land in the execution-
pipeline PR.
review_period — Review period (e.g. "2026 H1")?
custodians_in_scope — Custodians in scope?
reporting_source — Reporting source of truth (Addepar / Masttro / Eton)?
fee_schedule_source — Fee schedule source document?
performance_benchmarks — Performance benchmarks used?
open_exceptions — Open operational exceptions to resolve?
Workflow
- Run
python scripts/agent.py --config config.json (or invoke via Claude
Code with a config blob).
- The agent validates config, runs the interview (TTY or fixture-driven),
and produces the artifact under the canonical local path.
- The agent writes
manifest.json with artifact metadata (name, version,
content hash, pillar, skill_name, created_at).
- The agent optionally writes memory entries to the knowledge skill's
memory_objects table via psycopg if config.memory_dsn is provided.
Without a DSN, memory writes are skipped cleanly.
Memory Conventions
Memories written by this skill are tagged with:
subject = the artifact name
source = "investment-operations-review-checklist"
memory_type ∈ {decision, assumption, commitment, open_question}
Security & Confidentiality
- Never log interview answers or artifact contents at INFO level.
- Never include SSN, EIN, account numbers, or full financial amounts in
log lines. If a WHERE-clause field carries such data, log only a sha256
hash.
- The artifact directory is local-only at this iteration. DMS push (with
confidentiality-label routing) is handled by the execution-pipeline PR.
Reference