phase-2-packet

phase-2-packet

Build the Phase 2 outreach packet for a single role. Pull the JD, identify contacts, tailor the CV, draft outreach, save the packet, present in chat.

When to invoke

The user says: "build packet for X", "tailor CV for X", "Phase 2 for X", "packet X", "/packet X", or "let's go" after a Phase 1 greenlight summary.

Inputs

The user names a role by company or by slug. Resolve to:

• company (string)
• role_title (string)
• linkedin_url (the /jobs/view/{id}/ URL)
• slug (kebab-case, e.g. brevia-vp-product)

If the role is in the dashboard but no slug yet, generate one. If the role isn't in the dashboard, scaffold a minimal entry first.

Workflow

Step 1: Pull the full JD

Delegate to the jd-extractor agent (or run inline). The LinkedIn jobs page renders a skeleton in unauthenticated views; the real body lives behind the "Apply on company website" redirect. Recover it via:

1. Navigate to the LinkedIn jobs URL in Chrome
2. Find the Apply link's href
3. Decode the /safety/go/?url=... query param to recover the destination ATS URL
4. Navigate to the destination (Teamtailor, Workable, Greenhouse, Lever, Ashby, company-careers page)
5. Extract the full JD body text including:
   • About the role / mission
   • Responsibilities / day-in-the-life
   • Required experience / qualifications
   • Comp band if stated
   • Anti-bot screener words / phrases (look for mention the word "..." or include "..." in your application)
   • Reporting line and sit-on-SLT signals
   • Customer / partner names called out by name
   • In-office requirement (number of days)
   • Pre-employment check requirements (FCA, security clearance, criminal/credit checks)

Step 2: Sanity-check tier classification

If the JD body reveals signals that contradict the Phase-1 card-level triage (e.g., title says "Head of Product" but body says "individual contributor / chief of staff"), STOP. Surface the mismatch to the user with two options:

• A) Skip - reclassify as Skip, log reason
• B) Reframe and proceed - tailor for the actual scope (e.g., "I have been the CPO three times; force-multiplier IC at this scale-up is by choice")
• C) Apply low-effort - careers application only, no Connect+Note, no CV refresh

Do NOT proceed to Step 3 without the user's call.

Step 3: Identify contacts

Apply the contact-discovery cascade from ${CLAUDE_PLUGIN_ROOT}/config/channels.yaml:

1. LinkedIn job poster (the "Meet the hiring team" panel)
2. Hiring manager named in JD body (often "Reports to: ..." or specific name)
3. 1st-degree connection at the company in product/eng leadership
4. 2nd-degree with strong mutuals
5. Founder / CEO for founder-led companies
6. Recruiter-first (de-anon path) for recruiter-masked listings

For each candidate contact, check:

• Degree of connection (1st / 2nd / 3rd)
• Open Profile status (do they show a Message button without InMail paywall?)
• Public LinkedIn URL

When the role's reporting-to-CTO is in another timezone or appears to be transitioning out (e.g., now CEO at a different company), consider parallel reach to both the CTO and the CEO of the hiring company.

Step 4: Tailor the CV

Delegate to the cv-tailor agent. Pass:

• --role-slug - the kebab slug
• --baseline - path to the user's master CV (default: ${CLAUDE_PLUGIN_ROOT}/templates/cv-baseline.docx, but the user may have replaced this with their own)
• Replacements derived from the JD per the discipline:
  • Headline-positioning fragment (one phrase that captures the role's mandate)
  • Adjacency sentence (last sentence of executive summary, lands the role-specific analogue)
  • One or two career-highlight cells (rename + body)
  • Italic context line per relevant past role
  • Geo-conditional header per geo-rules.cv_header_templates
  • "Tailored for {company}, {role}" tag

The agent applies the discipline rules from outreach-style.yaml:

• Identity stable
• Max 2 of 6 highlight cells changed
• One phrase per past role's italic context line
• No em/en dashes anywhere
• Geo header conditional

Outputs Operator-FirstName-CV-{slug}.docx and .pdf in outreach/{slug}/.

Step 5: Draft outreach

Delegate to the outreach-drafter agent. Generate:

1. Connect+Note (Premium 300 char or standard 280 char) for the primary contact, leading with one concrete JD hook + one pattern-match anchor
2. Connect+Note for the backup contact (parallel reach)
3. Longer DM (120-180 words) for use after a connection accepts, or if Open Profile path lands

Apply outreach-style.yaml rules: peer-to-peer, no banned phrases, no em/en dashes, signed off with first name.

For role-specific anti-bot screener words detected in the JD body, draft a Summary / cover-letter blurb that includes the word naturally (per outreach-style.yaml.screener_test_words.action).

Step 6: Save the packet

Create outreach/{slug}/ and write:

• Operator-FirstName-CV-{slug}.docx
• Operator-FirstName-CV-{slug}.pdf
• jd.md - JD notes from ${CLAUDE_PLUGIN_ROOT}/templates/jd.md.template, populated
• outreach.md - outreach drafts from ${CLAUDE_PLUGIN_ROOT}/templates/outreach.md.template, populated

Step 7: Append to dashboard

Append a new role entry to the dashboard's ROLES = [...] array with:

• id - one greater than the current max
• slug - the kebab slug
• role, company, location, comp, score
• jdUrl - the canonical /jobs/view/{id}/ URL (NOT the search URL)
• contact - primary contact name + role
• contactUrl - primary contact's LinkedIn URL
• channels - planned channels
• sendDate: null - until Phase 3
• status: "drafted"
• note - long-form note capturing the score rationale, friction flags, and pattern match anchors

Step 8: Present in chat

Output:

• Score and tier
• JD URL + primary contact LinkedIn URL (per feedback_packet_links.md rule: ALWAYS show JD URL + contact URL in chat at greenlight, not just in saved files)
• Connect+Note draft (verbatim, with char count)
• Friction flags worth confirming with the user before send
• Computer:// links to the saved CV PDF, DOCX, jd.md, outreach.md

Step 9: STOP

Do NOT proceed to Phase 3. Wait for the user's explicit "send" per role.

Approval gate

Before saving the packet, surface for the user:

• Tier classification post-JD-extraction (may have changed from Phase 1)
• Comp band alignment
• Geo friction
• Title-scope alignment (line-product vs IC vs specialist)

If any of these have shifted from the Phase-1 read, surface the shift before generating the CV. The user gets the call.

References

See ${CLAUDE_PLUGIN_ROOT}/skills/phase-2-packet/references/cv-tailoring-discipline.md for the canonical replacement-key pattern. See ${CLAUDE_PLUGIN_ROOT}/skills/phase-2-packet/references/contact-discovery-recipes.md for LinkedIn search patterns to identify contacts.