Contacts Add

contacts-add — add a new person to your dunbar workspace

User input: /contacts-add $ARGUMENTS where $ARGUMENTS is a natural-language description of one person.

Where's my dunbar root?

Find it in this order, same as the contacts-sync skill:

1. $DUNBAR_ROOT environment variable
2. Current working directory if it has contacts.csv and at least one 0N_* circle folder
3. Ask the user

1. Dedupe first

NAME="<nickname>"
grep -ih "^${NAME}," "$DUNBAR_ROOT/contacts.csv"

If a row is found → tell the user "X already exists in your contacts — update instead of add?" and wait for their call before proceeding.

2. Parse the input (only what's stated, never inferred)

Extract from $ARGUMENTS (leave blank if not stated):

Never fabricate any field. If the user didn't say it, it stays blank. (This is the single most-violated rule when LLMs try to be "helpful" — resist.)

3. Pick a circle

• User named one → use it
• Default to 熟人 (04_熟人_casual) when in doubt — the safe fallback
• If context strongly hints (e.g. "my partner" → 核心; "we'll be working together regularly" → 常联系), suggest one and confirm
• When unsure, ask one short question rather than guess

4. Create the folder + stub MD

mkdir -p "$DUNBAR_ROOT/<NN_circle>/<nickname>/"

Write <nickname>.md, following the template (do NOT include <!-- CSV-SYNC-BEGIN --> block — sync.py adds it):

# <nickname>

## Basics
- Public name: <nickname>
- (other fields: only what the user provided; leave omitted ones out — don't list "TBD" placeholders)

## How we know each other
<paraphrase of the relationship origin the user described — one short paragraph>
_(empty if the user didn't say)_

## Interactions
_(empty — fill in over time)_

## Shared items / follow-ups
_(empty — fill in over time)_

If the person is a creator / public figure / has notable online presence, you may add ## Content notes and ## Public metrics sections.

5. Append a CSV row

Use Python (not awk — quoted fields with commas will break):

import csv, os
p = os.path.join(os.environ["DUNBAR_ROOT"], "contacts.csv")
with open(p, encoding="utf-8") as f:
    rows = list(csv.reader(f))
header = rows[0]
new_row = [""] * len(header)
new_row[header.index("昵称")] = "<nickname>"
# ... fill only the columns the user provided ...
rows.append(new_row)
with open(p, "w", encoding="utf-8", newline="") as f:
    csv.writer(f).writerows(rows)

Leave 圈层 and 详档 blank in this step — sync.py owns those (filesystem is the source of truth).

6. Run sync

python3 "$DUNBAR_ROOT/sync.py" --root "$DUNBAR_ROOT"

This will:

• Detect the new folder → fill in 圈层 + 详档
• Write the <!-- CSV-SYNC-BEGIN --> summary block at the top of the .md

7. Report

✅ Added <nickname> to contacts.csv
  Circle: <X>  ·  Profile: <circle>/<nickname>/<nickname>.md
  Filled: <comma-separated list of non-empty columns>

Empty (fill in later if you want):
  - <list of unfilled columns — informational, not nagging>

8. Don't ❌

• Don't invent any field value (introducer, circle, industry, birthday, etc.)
• Don't write "TBD", "to be confirmed", "🔴 risk", "verify this" sections in the MD body
• Don't write audit-style follow-ups about the person (e.g. "[ ] check whether their credentials are real")
• Don't bypass sync.py to hand-edit 圈层 / 详档 in the CSV
• Don't add the same person twice (step 1 dedupe is mandatory)
• When 真实姓名 == 昵称, leave 真实姓名 blank (don't copy)

9. ⛔ Hard rule: "Organization / partnership = only if it's actually happening"

Any description of an organization, company, partnership, project, role, or title can ONLY be written into the contacts profile when that organization is actually operating and that partnership is actually under way.

Violating this is the single biggest failure mode of contact-management LLMs. Even if the person introduces themselves as "CEO of X" — if X is a paper company and they've shipped nothing, in the contact record they are just the person, not "CEO of X".

✅ Always safe to record:

• The person themselves (education, languages, address, visa, personality, what they self-describe as their background)
• Things that have actually happened between you (meeting dates, conversations)
• The person's standalone identity ("UNSW MEd student" is a fact about them regardless of any business deal)

❌ Don't record:

• "CEO of X Co" — unless X is a registered entity and they are a legal officer
• "Co-founder of Y project" — unless Y has actually started shipping
• " partner / collaborator" — unless the partnership is concrete (signed / paid / actively executing)
• Speculative comp splits, unsigned terms, hypothetical roles

Project-prep artifacts (MOUs, org charts, external PDFs, draft frameworks) belong in a project workspace, not a contacts profile. Once the project actually exists, come back and fill in the 身份 / 公司 / 职位 columns.

10. Example

User input:

/contacts-add add Alice, my partner, lives in Sydney, alice@example.com

The skill does:

1. grep contacts.csv for ^Alice, → not found → continue
2. Parse: 昵称=Alice, 身份=partner, 家庭地址=Sydney, Email=alice@example.com
3. Circle → "partner" strongly hints 核心 → confirm with user, then proceed
4. mkdir -p $DUNBAR_ROOT/01_核心_core/Alice/
5. Write Alice.md with Basics + How-we-know-each-other (empty, since user didn't elaborate) + empty Interactions + empty Shared
6. Append CSV row (21 cols, fill 昵称 / 身份 / 家庭地址 / Email, rest blank)
7. Run sync.py → fills in 圈层=核心, 详档=01_核心_core/Alice/Alice.md, prepends summary block
8. Report