Skip to main content Inicio Creadores jeremylongshore tons-of-skills-marketplace fireflies-data-handling
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".
Ir a la instalación Skills Marketplace Descubre y explora habilidades de IA creadas por la comunidad.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Copiar promptMostrar detalles del prompt Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.
npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill fireflies-data-handlingEl comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.
¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.
Descargar Zip Descargando... Más de este repositorio langchain-deploy-integration Deploy a LangChain 1.0 / LangGraph 1.0 app to Cloud Run, Vercel, or LangServe correctly — with timeouts sized for chain length, cold-start mitigation, SSE anti-buffering headers, and Secret Manager over .env. Use when prepping a first production deploy, debugging a stream that hangs behind a proxy, or diagnosing p99 latency spikes. Trigger with "langchain deploy", "langchain cloud run", "langchain vercel python", "langchain langserve", or "langchain docker".
langchain-langgraph-agents Build a correct LangGraph 1.0 ReAct agent with create_react_agent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. Use when writing a first tool-calling agent, migrating from AgentExecutor or initialize_agent, or diagnosing an agent that loops on vague prompts. Trigger with "langgraph agent", "create_react_agent", "langgraph tool calling", "AgentExecutor migration", or "agent loop cost".
langchain-langgraph-human-in-loop Build LangGraph 1.0 human-in-the-loop approval flows with interrupt_before /
interrupt_after and Command(resume=...) — JSON-serializable state, clean
resume semantics, and UI wiring for approval decisions. Use when adding an
approval gate before an expensive tool call, wiring a Slack/web UI for agent
approvals, or debugging a graph that crashes on interrupt.
Trigger with "langgraph human in loop", "langgraph interrupt_before",
"langgraph approval flow", "Command resume", "langgraph HITL".
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
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 configured
Understanding 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 (json. [ ]. );
json. . ;
}
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 => 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.