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jbaruch/speaker-toolkit

Two-skill presentation system: analyze your speaking style into a rhetoric knowledge vault, then create new presentations that match your documented patterns. Includes an 88-entry Presentation Patterns taxonomy for scoring, brainstorming, and go-live preparation.

Overall
score

95%

Does it follow best practices?

Validation for skill structure

Overview
Skills
Evals
Files

seeding-satisfaction.mdskills/presentation-creator/references/patterns/deliver/

id:
seeding-satisfaction
name:
Seeding Satisfaction
type:
pattern
part:
deliver
phase_relevance:
publishing
vault_dimensions:
4
detection_signals:
pre-talk audience engagement, personal connections referenced during talk, audience rapport visible from start
related_patterns:
know-your-audience, social-media-advertising
inverse_of:
difficulty:
foundational
observable:
No

Seeding Satisfaction

Summary

Warm up the audience before your talk by mingling, chatting, and making personal connections. These pre-talk interactions humanize you, gather intelligence, settle nerves, and create connections that improve both your delivery and your feedback.

The Pattern in Detail

Most speakers arrive at a venue, find a quiet corner, review their notes, and wait nervously for their slot. The Seeding Satisfaction pattern inverts this behavior: instead of hiding before your talk, you actively seek out and engage with the people who will soon be sitting in your audience. Chat with attendees as they filter into the room. Introduce yourself. Ask what they hope to learn. Share a relevant anecdote. Make eye contact and learn names.

The benefits of this simple practice are remarkably multifaceted. First, it humanizes you. An audience that has had a personal interaction with the speaker before the talk begins views that speaker fundamentally differently than a stranger who walks on stage cold. You become a person they have a connection with, however brief, and that connection translates into goodwill, patience, and engagement. Second, it gathers audience intelligence: casual conversation reveals what people already know, what they are hoping to learn, and what concerns they have. This real-time data lets you fine-tune your emphasis and examples. Third, it settles your nerves. The transition from "facing a room of strangers" to "talking with people I have already met" is a powerful anxiety reducer.

Perhaps the most strategically important benefit is the effect on feedback. People who have had a pleasant personal interaction with you before the talk are psychologically less inclined to leave harsh negative feedback afterward. This is not about gaming the system — it is about the fundamental human truth that we judge people we know more charitably than strangers. A small error that might trigger a one-star review from an anonymous attendee is easily forgiven by someone who chatted with you about their kids before the session.

Use these pre-talk conversations to verify your Know Your Audience assumptions. If you expected a room full of senior architects and discover the early arrivals are mostly junior developers, you have a few precious minutes to mentally recalibrate. This intelligence is invaluable and available only to speakers who are willing to engage before they present.

The pattern extends beyond the immediate pre-talk window. Attending other sessions at the same event, participating in conference social activities, and being accessible during breaks all contribute to the same effect: when you finally take the stage, you are not a stranger.

When to Use / When to Avoid

Use this pattern at every opportunity. It is especially valuable at conferences where you are not well-known, in communities you are new to, and for talks on controversial or challenging topics where audience goodwill is precious. Avoid forcing interactions if you are genuinely too anxious — a visibly stressed speaker trying to make small talk can create the opposite of the intended effect. In that case, focus on one or two brief, genuine conversations rather than working the room.

Detection Heuristics

  • Speaker references specific audience members or conversations during the talk
  • Audience appears engaged and responsive from the very first moment
  • Post-talk feedback reflects personal connection, not just content evaluation
  • Speaker demonstrates awareness of specific audience demographics or concerns

Scoring Criteria

  • Strong signal (2 pts): Clear evidence of pre-talk audience engagement — speaker references conversations, audience is warm from the start, feedback reflects personal connection
  • Moderate signal (1 pt): Some pre-talk interaction evident but limited in scope or impact
  • Absent (0 pts): Speaker arrives cold with no pre-talk audience interaction

Relationship to Vault Dimensions

This pattern maps to Vault Dimension 4 (Audience Engagement). Seeding Satisfaction operates on the engagement dimension by building rapport before the formal presentation begins, creating a foundation of goodwill that amplifies every other engagement technique used during the talk.

Combinatorics

Seeding Satisfaction pairs naturally with Know Your Audience (pre-talk conversations validate research), Posse (supporters can help seed conversations), and Emotional State (mingling reveals audience mood). It also supports Seeding the First Question by identifying individuals who might be willing to ask the opening question during Q&A.

Install with Tessl CLI

npx tessl i jbaruch/speaker-toolkit@0.5.1

skills

presentation-creator

references

patterns

_index.md

guardrails.md

process.md

slide-generation.md

SKILL.md

CHANGELOG.md

README.md

tile.json