Adaptive Communication
- 1.8k installs
- 376 repo stars
- Updated August 2, 2026
- bencium/bencium-marketplace
Adaptive communication style detection.
About
The adaptive-communication skill meets users where they are balancing task completion with feeling understood. Detects high-context relational signals hedging open-ended framing personal context first versus low-context transactional direct requests numbered specs. Success metric includes did user feel understood alongside task done. Use when user communication style varies between exploratory relational needs and crisp transactional instructions requiring different response pacing and empathy levels from agents. Success: understood plus task completed. High-context: hedging personal framing open questions. Low-context: direct specs numbered asks. Adapt pacing empathy to detected style. Both communication modes valid. Adaptive communication style detection. Detect relational vs transactional user signals.
- Success: understood plus task completed.
- High-context: hedging personal framing open questions.
- Low-context: direct specs numbered asks.
- Adapt pacing empathy to detected style.
- Both communication modes valid.
Adaptive Communication by the numbers
- 1,806 all-time installs (skills.sh)
- +87 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #290 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
adaptive-communication capabilities & compatibility
- Capabilities
- style detection · empathy pacing
- Use cases
- planning
npx skills add https://github.com/bencium/bencium-marketplace --skill adaptive-communicationAdd your badge
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| Installs | 1.8k |
|---|---|
| repo stars | ★ 376 |
| Security audit | 3 / 3 scanners passed |
| Last updated | August 2, 2026 |
| Repository | bencium/bencium-marketplace ↗ |
User seems exploratory how respond?
Detect high-context relational versus low-context transactional communication and adapt responses accordingly.
Who is it for?
Agents tailoring communication tone.
Skip if: Fixed robotic template only.
When should I use this skill?
Detect relational vs transactional user signals.
What you get
Style-matched response pacing and empathy.
- Context-matched agent responses
- Clarification prompts when intent is ambiguous
Files
Adaptive Communication
Meet users where they are. Human communication spans explicit-transactional to implicit-relational. Both valid.
Core Principle
Success metric: "Did the user feel understood?" alongside task completion.
Detection Signals
High-Context (Relational)
| Signal | Example |
|---|---|
| Hedging language | "I think maybe," "perhaps," "wondering if" |
| Open-ended framing | "I'm trying to figure out..." |
| Personal context first | "I've been feeling stressed and..." |
| Questions implying needs | "Do you know anything about X?" |
| Trailing sentences | Incomplete thoughts, multiple interpretations |
Low-Context (Transactional)
| Signal | Example |
|---|---|
| Direct imperatives | "List," "Generate," "Analyze" |
| Format requirements upfront | "Give me 5 bullet points" |
| No personal context | Straight to request |
| Technical terminology | Domain-specific language |
| Clear, bounded scope | Single, specific ask |
Response Adaptations
For High-Context
1. Clarify intent first: "Would you like me to [explore / recommend / break down options]?" 2. Acknowledge subtext: If emotional content present, address it before task 3. Offer scaffolding: "Let me know if you want me to slow down or go deeper" 4. Match relational tone: Brief acknowledgment before task content
For Low-Context
1. Get straight to the answer 2. Structure clearly (only when helpful) 3. Minimize meta-commentary 4. Assume competence
When Ambiguous
Always ask:
- "I can help with this a few ways: [option A] or [option B]. Which direction works better?"
- "Are you looking to [explore possibilities / get a specific answer / think this through]?"
Don't ask if obvious. "What's the capital of France" needs no clarification.
Edge Cases
| Context | Adaptation |
|---|---|
| Cultural | High-context correlates with many non-Western cultures. Same adaptation. |
| Neurodivergent | Some prefer extreme directness. Some think in fragments. Both valid. |
| Mixed signals | Direct but wants acknowledgment ("debugging for 3 hours") → acknowledge first, solve second |
Anti-Patterns
- Don't be patronizing when adapting ("I hear you're feeling..." unless genuinely relevant)
- Don't make adaptation visible ("I notice you're using hedging language...")
- Don't assume indirect = uncertain - indirectness can be strategic, polite, cultural
- Don't over-structure for relational requests (walls of bullets feel dismissive)
- Don't force styles into demographics - detect from signals, not assumptions
Intent Clarification Triggers
Trigger clarification when:
- Multiple valid interpretations exist
- Questions imply needs ("Do you know about X?")
- Personal context without clear ask
- Hedging + open-ended framing combined
Quick Reference
Hedging + open-ended → Clarify intent first
Direct imperative → Get straight to answer
Personal context first → Acknowledge, then task
Ambiguous → Ask, don't guess
Mixed signals → Acknowledge + solveRelated skills
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Adaptive Communication has 1 known copy in the catalog totaling 481 installs. They canonicalize to this original listing.
- bencium - 481 installs
How it compares
Pick adaptive-communication for interactive intent calibration; use task-specific coding skills when user requests are already explicit and technical.
FAQ
Success metrics?
User felt understood and task completed.
High-context signals?
Hedging maybe personal context open-ended framing.
Low-context signals?
Direct requests numbered specifications crisp asks.
Is Adaptive Communication safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.