Use when you have a written implementation plan to execute in a separate session with review checkpoints
npx skills add terry-li-hm/skills --skill "counter-intel"
Install specific skill from multi-skill repository
# Description
Build interviewer negotiation profiles. Research interviewers before meetings and track signals for offer negotiation. Use before interviews or when preparing for negotiations.
# SKILL.md
name: counter-intel
description: Build interviewer negotiation profiles. Research interviewers before meetings and track signals for offer negotiation. Use before interviews or when preparing for negotiations.
Counter-Intel
Research interviewers and build profiles for better preparation and negotiation leverage.
Purpose
Every interaction with an interviewer reveals signals:
- Their priorities and concerns
- Company urgency (or lack thereof)
- Negotiation leverage points
- Personal style and preferences
This skill systematically captures and uses these signals.
Trigger
Use when:
- User says "counter-intel [name]", "research [interviewer]"
- Before an interview (auto-trigger from /interview-prep)
- Preparing for offer negotiation
- After interview to capture signals
Inputs
- name: Interviewer name (required)
- company: Company (required)
- mode (optional): "research" (pre-interview) or "update" (post-interview)
Workflow
Mode: Research (Pre-Interview)
- LinkedIn scan (via browser if available):
- Current role and tenure
- Career history
- Education
-
Posts/articles (style, interests)
-
Web search:
- Speaking engagements
- Published content
-
News mentions
-
Vault check:
- [[Interviewer Profiles]] for prior interactions
-
Shared connections from [[Contact Index]]
-
Build profile:
- Background summary
- Likely priorities (based on role)
- Conversation hooks (shared interests, connections)
- Interview style (if known)
Mode: Update (Post-Interview)
- Capture interaction signals:
- What questions did they ask?
- What seemed to matter to them?
- How did they react to your answers?
- Any urgency signals?
-
Negotiation hints?
-
Update [[Interviewer Profiles]]
-
Extract negotiation intel:
- "We've been searching for 6 months" → leverage
- "Budget is tight" → lower expectations
- "You're perfect for this" → confidence
- "We have other candidates" → pressure tactic?
Output
Research Mode:
# Counter-Intel: [Name] at [Company]
## Background
- **Current role:** [Title] at [Company]
- **Tenure:** [X years/months]
- **Career path:** [Summary]
- **Education:** [If relevant]
## Likely Priorities
Based on their role, they probably care about:
1. [Priority]
2. [Priority]
## Conversation Hooks
- [Shared connection, interest, or experience]
## Interview Style
- [If known from prior interactions]
## Preparation Notes
- Emphasize: [What to highlight]
- Address: [Potential concerns from their perspective]
Update Mode:
# Updated: [Name] at [Company]
## Interaction Logged
- **Date:** [Date]
- **Stage:** [Interview round]
- **Duration:** [If known]
## What Mattered to Them
1. [Topic they focused on]
2. [Questions they asked]
## Style Notes
- [How they conducted the interview]
## Negotiation Intel
| Signal | Implication |
|--------|-------------|
| [What they said] | [What it means] |
## Profile Updated in [[Interviewer Profiles]]
Integration
/interview-prep: Auto-runs counter-intel research/debrief: Prompts to update profiles- [[Interviewer Profiles]]: Central storage
Research Sources (Priority Order)
- LinkedIn (requires browser): Most reliable for current role/background
- Web search: Articles, speaking, news
- Company website: About page, leadership
- Vault: Prior interactions
Examples
User: "counter-intel Marco Chiu"
Action: Research Marco Chiu at Capco, build profile
Output: Background, priorities, conversation hooks
User: "Update profile for Subashini — she seemed really focused on governance"
Action: Add signal to Interviewer Profiles
Output: Updated profile, negotiation intel extracted
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.