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fireflies-data-handling Handle Fireflies.ai transcript data: export formats, PII redaction, retention policies, and compliance.
Use when exporting transcripts, implementing data redaction,
configuring retention, or ensuring GDPR/CCPA compliance.
Trigger with phrases like "fireflies data", "fireflies PII",
"fireflies GDPR", "fireflies data retention", "fireflies privacy", "fireflies export".
الانتقال إلى التثبيت سوق المهارات اكتشف واستكشف مهارات الذكاء الاصطناعي التي بناها المجتمع.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
عرض تفاصيل Prompt يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill fireflies-data-handlingيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
تحميل Zip جاري التحميل... المزيد من هذا المستودع Implement user sign-up and sign-in flows with Clerk.
Use when building authentication UI, customizing sign-in experience,
or implementing OAuth social login.
Trigger with phrases like "clerk sign-in", "clerk sign-up",
"clerk login flow", "clerk OAuth", "clerk social login".
Implement session management and middleware with Clerk.
Use when managing user sessions, configuring route protection,
or implementing token refresh and custom JWT templates.
Trigger with phrases like "clerk session", "clerk middleware",
"clerk route protection", "clerk token", "clerk JWT".
Configure enterprise SSO, role-based access control, and organization management.
Use when implementing SSO integration, configuring role-based permissions,
or setting up organization-level controls.
Trigger with phrases like "clerk SSO", "clerk RBAC",
"clerk enterprise", "clerk roles", "clerk permissions", "clerk organizations".
المهن ذات الصلة SOC
استنادا إلى تصنيف SOC المهني
name fireflies-data-handling description Handle Fireflies.ai transcript data: export formats, PII redaction, retention policies, and compliance.
Use when exporting transcripts, implementing data redaction,
configuring retention, or ensuring GDPR/CCPA compliance.
Trigger with phrases like "fireflies data", "fireflies PII",
"fireflies GDPR", "fireflies data retention", "fireflies privacy", "fireflies export".
allowed-tools Read, Write, Edit version 1.11.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","fireflies","compliance"] compatibility Designed for Claude Code, also compatible with Codex and OpenClaw
Fireflies.ai Data Handling
Overview
Manage meeting transcript data: export in multiple formats (JSON, text, SRT), redact PII from transcripts and summaries, implement retention policies with automated cleanup, and handle GDPR/CCPA data subject requests.
Prerequisites
FIREFLIES_API_KEY configuredUnderstanding of transcript data structure (sentences, summary, analytics)
Storage for processed transcripts
Instructions
Step 1: Fetch Transcript Data
const FIREFLIES_API = "https://api.fireflies.ai/graphql" ;
async function getFullTranscript (id : string const res = await fetch (FIREFLIES_API , {
method : "POST" ,
headers : {
"Content-Type" : "application/json" ,
Authorization : `Bearer ${process.env.FIREFLIES_API_KEY} ` ,
},
body : JSON .stringify ({
query : `
query($id: String!) {
transcript(id: $id) {
id title date duration
organizer_email
speakers { id name }
sentences { speaker_name text start_time end_time }
summary { overview action_items keywords short_summary }
meeting_attendees { displayName email }
}
}
` ,
variables : { id },
}),
});
const json = await res.json ();
if (json.errors ) throw new Error
errors
0
message
return
data
transcript
Step 2: Export in Multiple Formats type ExportFormat = "json" | "text" | "srt" | "csv" ;
function exportTranscript (transcript : any , format : ExportFormat string {
switch (format) {
case "json" :
return JSON .stringify (transcript, null , 2 );
case "text" :
const lines = [
`# ${transcript.title} ` ,
`Date: ${transcript.date} | Duration: ${transcript.duration} min` ,
`Speakers: ${transcript.speakers.map((s: any ) => s.name).join(", " )} ` ,
"" ,
"## Summary" ,
transcript.summary ?.overview || "(none)" ,
"" ,
"## Action Items" ,
...(transcript.summary ?.action_items || []).map ((a : string `- ${a} ` ),
"" ,
"## Transcript" ,
...transcript.sentences .map ((s : any
`[${fmtTime(s.start_time)} ] ${s.speaker_name} : ${s.text} `
),
];
return lines.join ("\n" );
case "srt" :
return transcript.sentences .map ((s : any , i : number
[
i + 1 ,
`${fmtSrt(s.start_time)} --> ${fmtSrt(s.end_time)} ` ,
`${s.speaker_name} : ${s.text} ` ,
"" ,
].join ("\n" )
).join ("\n" );
case "csv" :
const header = "start_time,end_time,speaker,text" ;
const rows = transcript.sentences .map ((s : any
`${s.start_time} ,${s.end_time} ,"${s.speaker_name} ","${s.text.replace(/"/g, '" "')}" `
);
return [header, ...rows].join("\n");
}
}
function fmtTime(sec: number): string {
const m = Math.floor(sec / 60);
const s = Math.floor(sec % 60);
return ` ${String (m).padStart(2 , "0" )}:${String (s).padStart(2 , "0" )}`;
}
function fmtSrt(sec: number): string {
const h = Math.floor(sec / 3600);
const m = Math.floor((sec % 3600) / 60);
const s = Math.floor(sec % 60);
const ms = Math.floor((sec % 1) * 1000);
return ` ${String (h).padStart(2 , "0" )}:${String (m).padStart(2 , "0" )}:${String (s).padStart(2 , "0" )},${String (ms).padStart(3 , "0" )}`;
}
Step 3: PII Redaction const PII_PATTERNS = [
{ regex : /\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b/g , tag : "[EMAIL]" },
{ regex : /\b\d{3}[-.]?\d{3}[-.]?\d{4}\b/g , tag : "[PHONE]" },
{ regex : /\b\d{3}-\d{2}-\d{4}\b/g , tag : "[SSN]" },
{ regex : /\b\d{4}[\s-]?\d{4}[\s-]?\d{4}[\s-]?\d{4}\b/g , tag : "[CARD]" },
{ regex : /\b\d{1,5}\s+\w+\s+(Street|St|Avenue|Ave|Road|Rd|Drive|Dr|Lane|Ln)\b/gi , tag : "[ADDRESS]" },
];
function redactText (text : string string {
let result = text;
for (const { regex, tag } of PII_PATTERNS ) {
result = result.replace (regex, tag);
}
return result;
}
function redactTranscript (transcript : any any {
return {
...transcript,
organizer_email : redactText (transcript.organizer_email || "" ),
sentences : transcript.sentences ?.map ((s : any ({
...s,
text : redactText (s.text ),
speaker_name : s.speaker_name ,
})),
summary : transcript.summary ? {
...transcript.summary ,
overview : redactText (transcript.summary .overview || "" ),
action_items : transcript.summary .action_items ?.map (redactText),
short_summary : redactText (transcript.summary .short_summary || "" ),
} : null ,
meeting_attendees : transcript.meeting_attendees ?.map ((a : any ({
displayName : a.displayName ,
email : redactText (a.email || "" ),
})),
};
}
Step 4: Retention Policy with Automated Cleanup interface RetentionPolicy {
fullTranscriptDays : number ;
summaryDays : number ;
deleteAfterDays : number ;
}
const DEFAULT_POLICY : RetentionPolicy = {
fullTranscriptDays : 90 ,
summaryDays : 365 ,
deleteAfterDays : 730 ,
};
async function applyRetentionPolicy (policy = DEFAULT_POLICY ) {
const data = await getTranscriptList (200 );
const now = Date .now ();
const results = { kept : 0 , archived : 0 , deleted : 0 };
for (const t of data.transcripts ) {
const ageDays = (now - new Date (t.date ).getTime ()) / 86400000 ;
if (ageDays > policy.deleteAfterDays ) {
await deleteTranscript (t.id );
results.deleted ++;
} else if (ageDays > policy.fullTranscriptDays ) {
await archiveToSummaryOnly (t.id );
results.archived ++;
} else {
results.kept ++;
}
}
console .log (`Retention applied: ${results.kept} kept, ${results.archived} archived, ${results.deleted} deleted` );
return results;
}
async function deleteTranscript (id : string await fetch (FIREFLIES_API , {
method : "POST" ,
headers : {
"Content-Type" : "application/json" ,
Authorization : `Bearer ${process.env.FIREFLIES_API_KEY} ` ,
},
body : JSON .stringify ({
query : `mutation($id: String!) { deleteTranscript(transcript_id: $id) }` ,
variables : { id },
}),
});
await new Promise (r =>setTimeout (r, 6500 ));
}
Step 5: GDPR Data Subject Request
async function handleDataSubjectDeletion (email : string const data = await fetch (FIREFLIES_API , {
method : "POST" ,
headers : {
"Content-Type" : "application/json" ,
Authorization : `Bearer ${process.env.FIREFLIES_API_KEY} ` ,
},
body : JSON .stringify ({
query : `query($participants: [String]) {
transcripts(participants: $participants, limit: 100) {
id title date participants
}
}` ,
variables : { participants : [email] },
}),
}).then (r =>json ());
const affected = data.data .transcripts ;
console .log (`Found ${affected.length} transcripts with ${email} ` );
return {
email,
affectedTranscripts : affected.length ,
transcriptIds : affected.map ((t : any t.id ),
};
}
Error Handling Issue Cause Solution Missing sentences Transcript still processing Check before export PII in action items Redaction only on sentences Redact summary fields too (Step 3 does this) Delete rate limit 10 deletes/min Add 6.5s delay between deletes Large transcript OOM 2+ hour meeting Stream or paginate sentences
Output
Multi-format transcript export (JSON, text, SRT, CSV)
PII redaction covering sentences, summaries, and attendee info
Automated retention policy with configurable thresholds
GDPR/CCPA data subject request handler
Resources
Next Steps For enterprise access control, see fireflies-enterprise-rbac.
