integration
Skill2 starsChanged 3 months agoMITView on GitHub
Designs how casual engagement with a named audience segment becomes an identified, ongoing relationship — a membership, champion, or pathway mechanic — and ties that relationship explicitly to a business outcome. Reads using-fan-development-skills first for the toolkit's operating behaviors and mode detection. Use when the segment engages once but doesn't return, or can't be identified the second time — whether arriving from a research diagnosis, chained in the full flow, or invoked directly on a segment the operator already has in mind.
7 other projects use a version of this.
Adopted by
Most recently taken up by
- trailofbits/cooptheir own version, first seen Nov 5, 2026
- foryouself83/harness-tiertheir own version, first seen Oct 13, 2026
- hass-energy/haeotheir own version, first seen Oct 8, 2026
- alizafarbati/opencode-agents-mcptheir own version, first seen Sep 8, 2026
- robium-ai/robiumtheir own version, first seen Aug 7, 2026
- StephanSergio/vibe-stacktheir own version, first seen Jun 20, 2026
Used with
Projects with it also use performance.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
klauswgSkillperformance
Optimize web performance for faster loading and better user experience. Use when asked to "speed up my site", "optimize performance", "reduce load time", "fix slow loading", "improve page speed", or "performance audit".
Also in 3 projects that use this
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- trailofbits/coop★ 808same name
- robium-ai/robium★ 93same name
- hass-energy/haeo★ 77same name
- foryouself83/harness-tier★ 10same name
- aiperceivable/apcore-skills★ 1same name
- alizafarbati/opencode-agents-mcp★ 1same name
- StephanSergio/vibe-stack★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository4 other files it gives its agents.
- awarenessSkill
- engagementSkill
- researchSkill
- using-fan-development-skillsSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 26
Before anything else, read and apply using-fan-development-skills/SKILL.md — it defines the Core Operating Behaviors, detects Single-Skill …
- Very specific: line 36
Establish the segment: If a segment or audience hasn't been named yet — this skill invoked cold — ask which one to focus on.
- Distinctive: line 47
Ground the brief: Ask for any metrics, resource considerations, or priorities that would shape the recommendation.
- Distinctive: line 57
If a search capability is available, use it to ground the mechanic choice in real information about comparable pathway or membership models …
- Distinctive: line 102
Before treating a run as complete, confirm:
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Integration
Overview
integration answers one question for a named segment: how does a casual,
anonymous interaction become an identified, ongoing relationship — and what
business outcome does that relationship actually connect to?
When to Use
- The segment engages casually but doesn't return, or can't be identified or tracked the second time — that's the bottleneck.
- Arriving from a
researchdiagnosis (full-flow or a prior standalone run) that named integration as the bottleneck. - Invoked directly on a segment the operator already has in mind.
- Not for a segment that hasn't engaged at all yet — that's
awarenessorengagement, depending on which gap comes first.
Read First
Before anything else, read and apply
using-fan-development-skills/SKILL.md — it defines the Core Operating
Behaviors, detects Single-Skill vs. Full-Flow Mode, and defines Session
Continuity & File Output. Check for an existing business-level research.md
and, once the segment is established, this segment's own integration.md
(and any integration-*.md options) before proceeding, and read in whatever
exists. Everything below assumes those behaviors are already active.
Resolve the Intake
- Establish the segment. If a segment or audience hasn't been named yet
— this skill invoked cold — ask which one to focus on. If the operator
doesn't know, mention that
researchwould diagnose this first, but don't force it; proceed with whatever segment they name directly. - Mode.
- Build mode — designing an integration pathway fresh for this segment.
- Thought-partner/refine mode — an integration pathway already exists for this segment and the operator wants it refined or pressure-tested, not designed from scratch. Capture what already exists and the specific refinement question instead of starting from zero.
- Ground the brief. Ask for any metrics, resource considerations, or priorities that would shape the recommendation. Missing answers don't block the brief — flag the gap and proceed with what's known.
Design the Pathway
- Identify the mechanic that turns a casual, anonymous interaction into an identified one — a membership, a champion tier, a pathway with a clear next step — appropriate to what's been shared about this segment and the business.
- If a search capability is available, use it to ground the mechanic choice
in real information about comparable pathway or membership models for
this kind of segment or business. A mechanic proposed with no basis is
exactly what
LOW_EVIDENCEflagging exists to catch. - State explicitly how the identified relationship connects to a business outcome — not "more loyalty," a named outcome: retention, referral, revenue, advocacy, or whatever's real for this business.
Output the Brief
Assemble: the situation (why engagement is staying casual/anonymous), the
recommended approach with reasoning (the pathway mechanic and the business
outcome it connects to), the resourcing implication, the outcome metric to
defend (per the router's Core Operating Behavior #4 — something that
reflects the relationship actually becoming identified, like tracked repeat
engagement or conversion into the pathway, stated plainly, not raw repeat
visits), risks or watch-outs, and a check-in question
posed back to the operator. Close per the router's Mode Detection:
Single-Skill Mode ends with a stated next-step recommendation; the Full-Flow
check-in stop is the router's job, not this skill's. Save per the router's
Session Continuity & File Output — the canonical
fan-development/<business-slug>/<segment-slug>/integration.md for a
refinement, or a distinctly-slugged option file when the operator asked for
alternatives — and state the path in the close.
Common Rationalizations
| Rationalization | Reality |
| "A loyalty or membership program is the obvious answer regardless of what this segment or business actually needs." | "Obvious" is the same trap as elsewhere — ground the specific mechanic in what's been shared, or flag the gap. |
| "A repeat-visit count on its own is a fine metric." | Repeat visits without identification isn't integration. The metric needs to reflect that the relationship is now identified or trackable, not just that activity happened twice. |
| "The business outcome this connects to is self-evident, no need to state it." | State it anyway — the explicit business-outcome connection is the discipline this skill exists to enforce, not an implied one. |
| "This is a refinement request, I can skip straight to a tweak without confirming what's already there." | Thought-partner mode still needs to capture what exists before refining it — confirm the current pathway before recommending a change to it. |
Red Flags
- A pathway or membership mechanic proposed with no stated business-outcome connection.
- A metric measuring repeat activity without measuring identification.
- A mechanic that doesn't reference anything shared about the segment or business — generic loyalty-program boilerplate.
- Missing resourcing or priority context never asked for.
Verification
Before treating a run as complete, confirm:
- The segment was established before any design began — asked for, or already provided
- Mode (build vs. thought-partner) was resolved and respected
- The pathway mechanic is tied explicitly to a named business outcome
- Search was used to ground the mechanic choice when available;
LOW_EVIDENCEflagged when it wasn't - The brief includes situation, approach with reasoning, resourcing, an outcome metric, risks, and a check-in question
- Missing context was asked for explicitly and/or flagged as a gap, not silently assumed
- Existing files (business-level
research.md, this segment'sintegration.md/option files) were checked for and read first; the brief was saved to the correct path per Session Continuity & File Output
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