# EVENT_URL came from the invocation message (whatever the user typed after `/event-prospecting`)
EVENT_SLUG=$(node -e 'const h = new URL(process.argv[1]).hostname.replace(/^www\./,""); console.log(h.split(".")[0])' "$EVENT_URL")
TIMESTAMP=$(date +%Y-%m-%d-%H%M)
OUTPUT_DIR=/Users/jay/Desktop/${EVENT_SLUG}_prospects_${TIMESTAMP}
mkdir -p "$OUTPUT_DIR/companies" "$OUTPUT_DIR/people"

PROFILES=$(ls {SKILL_DIR}/profiles/*.json 2>/dev/null | xargs -n1 basename | sed 's/\.json$//' | grep -v '^example$')
COUNT=$(echo "$PROFILES" | grep -c .)

if [ -z "$USER_SLUG" ]; then
  if [ "$COUNT" -eq 0 ]; then
    echo "No profiles found in {SKILL_DIR}/profiles/. Copy profiles/example.json to profiles/<your_slug>.json and fill it in, or run the company-research skill to build one."
    exit 1
  elif [ "$COUNT" -eq 1 ]; then
    USER_SLUG=$PROFILES
    echo "Using the only profile available: ${USER_SLUG}"
  else
    echo "Multiple profiles found:"
    echo "$PROFILES" | sed 's/^/  - /'
    echo "Re-invoke with --user-company <slug> to pick one."
    exit 1
  fi
fi

test -f {SKILL_DIR}/profiles/${USER_SLUG}.json || {
  echo "Profile not found: profiles/${USER_SLUG}.json"
  exit 1
}
cat {SKILL_DIR}/profiles/${USER_SLUG}.json

node {SKILL_DIR}/scripts/recon.mjs {EVENT_URL} {OUTPUT_DIR}

node {SKILL_DIR}/scripts/extract_event.mjs {OUTPUT_DIR} --user-company {USER_SLUG}

wc -l {OUTPUT_DIR}/people.jsonl {OUTPUT_DIR}/seed_companies.txt
head -3 {OUTPUT_DIR}/people.jsonl

wc -l {OUTPUT_DIR}/seed_companies.txt

# Build batch files: each batch line is "name|guessed_homepage|slug".
# extract_event.mjs only emits company NAMES (no URLs), so we slugify and guess
# https://{slug-without-spaces}.com as the canonical homepage. The triage subagent
# is allowed to write product_description: "Unknown — homepage content not accessible"
# and cap score at 3 if the guessed URL 404s — that's the documented fallback in
# workflow.md (rule 3 of the ICP Triage prompt). Burning a real bb search to
# discover the URL would bust the 1-call-per-company HARD CAP.
node -e '
const fs = require("fs");
const slugify = (s) => (s || "").toLowerCase().replace(/[^a-z0-9]+/g, "-").replace(/^-+|-+$/g, "");
const seed = fs.readFileSync("{OUTPUT_DIR}/seed_companies.txt", "utf-8").split("\n").filter(Boolean);
const lines = seed.map(c => {
  const slug = slugify(c);
  const guessedHost = c.toLowerCase().replace(/[^a-z0-9]/g, "");
  return `${c}|https://${guessedHost}.com|${slug}`;
});
fs.writeFileSync("{OUTPUT_DIR}/_seed_with_urls.txt", lines.join("\n") + "\n");
'

# Split into ~10-company batches
split -l 10 {OUTPUT_DIR}/_seed_with_urls.txt {OUTPUT_DIR}/_batch_triage_

# Count batches → number of subagents to dispatch (cap at 6 per message; second wave for the rest)
ls {OUTPUT_DIR}/_batch_triage_* | wc -l

Agent(
  description: "ICP triage batch aa",
  prompt: <ICP Triage prompt from workflow.md with all placeholders substituted>,
  subagent_type: "general-purpose"
)
Agent(
  description: "ICP triage batch ab",
  prompt: <same prompt template, COMPANY_LIST swapped to batch ab>,
  subagent_type: "general-purpose"
)
... up to 6 per message

ls {OUTPUT_DIR}/companies/*.md | wc -l
# Should equal `wc -l {OUTPUT_DIR}/seed_companies.txt`

THRESHOLD=6   # from --icp-threshold flag
for f in {OUTPUT_DIR}/companies/*.md; do
  score=$(awk '/^icp_fit_score:/{print $2; exit}' "$f")
  if [ -n "$score" ] && [ "$score" -ge "$THRESHOLD" ]; then
    basename "$f" .md
  fi
done > {OUTPUT_DIR}/icp_fits.txt

wc -l {OUTPUT_DIR}/icp_fits.txt

# Build {company-slug|website} pairs by reading frontmatter from each triage stub
while read slug; do
  website=$(awk '/^website:/{print $2; exit}' {OUTPUT_DIR}/companies/${slug}.md)
  echo "${slug}|${website}"
done < {OUTPUT_DIR}/icp_fits.txt > {OUTPUT_DIR}/_deep_targets.txt

# Split into ~5-company batches (deep mode)
split -l 5 {OUTPUT_DIR}/_deep_targets.txt {OUTPUT_DIR}/_batch_deep_
ls {OUTPUT_DIR}/_batch_deep_* | wc -l

Agent(
  description: "Deep research batch aa",
  prompt: <Deep Research prompt from workflow.md with all placeholders substituted; COMPANY_LIST = cat _batch_deep_aa>,
  subagent_type: "general-purpose"
)
Agent(
  description: "Deep research batch ab",
  prompt: <same template, COMPANY_LIST = cat _batch_deep_ab>,
  subagent_type: "general-purpose"
)
... up to 6 per message; second wave after the first returns

grep -l "triage_only: false" {OUTPUT_DIR}/companies/*.md | wc -l
# Should equal wc -l icp_fits.txt

TOTAL=$(wc -l < {OUTPUT_DIR}/people.jsonl)
ICP_FITS=$(node -e '
const fs = require("fs");
const fits = new Set(fs.readFileSync("{OUTPUT_DIR}/icp_fits.txt", "utf-8").split("\n").filter(Boolean));
const slug2name = {};
for (const slug of fits) {
  const md = fs.readFileSync(`{OUTPUT_DIR}/companies/${slug}.md`, "utf-8");
  const m = md.match(/^company_name:\s*(.+)$/m);
  if (m) slug2name[slug] = m[1].trim();
}
const want = new Set(Object.values(slug2name).map(s => s.toLowerCase()));
const ppl = fs.readFileSync("{OUTPUT_DIR}/people.jsonl","utf-8").split("\n").filter(Boolean).map(JSON.parse);
console.log(ppl.filter(p => p.company && want.has(p.company.toLowerCase())).length);
')

# Lanes per person: 2 (deep) or 4 (deeper) — match {DEPTH}
LANES=2   # or 4 for deeper
echo "ICP fits: ${ICP_FITS} speakers × ${LANES} = $((ICP_FITS * LANES)) calls"
echo "All:      ${TOTAL} speakers × ${LANES} = $((TOTAL * LANES)) calls"

AskUserQuestion(questions: [
  {
    question: "Enrich which speakers?",
    header: "Enrichment scope",
    multiSelect: false,
    options: [
      { label: "ICP fits only", description: "${ICP_FITS} speakers, ~$((ICP_FITS * LANES)) calls (recommended)" },
      { label: "All speakers", description: "${TOTAL} speakers, ~$((TOTAL * LANES)) calls" }
    ]
  }
])

# Build _people_to_enrich.jsonl based on ENRICH_SCOPE
if [ "$ENRICH_SCOPE" = "all" ]; then
  cp {OUTPUT_DIR}/people.jsonl {OUTPUT_DIR}/_people_to_enrich.jsonl
else
  node -e '
const fs = require("fs");
const fits = new Set(fs.readFileSync("{OUTPUT_DIR}/icp_fits.txt", "utf-8").split("\n").filter(Boolean));
const slug2name = {};
for (const slug of fits) {
  const md = fs.readFileSync(`{OUTPUT_DIR}/companies/${slug}.md`, "utf-8");
  const m = md.match(/^company_name:\s*(.+)$/m);
  if (m) slug2name[slug] = m[1].trim();
}
const wantNames = new Set(Object.values(slug2name).map(s => s.toLowerCase()));
const lines = fs.readFileSync("{OUTPUT_DIR}/people.jsonl", "utf-8").split("\n").filter(Boolean);
const keep = lines.filter(l => {
  const p = JSON.parse(l);
  return p.company && wantNames.has(p.company.toLowerCase());
});
fs.writeFileSync("{OUTPUT_DIR}/_people_to_enrich.jsonl", keep.join("\n") + "\n");
console.error(`Enriching ${keep.length} of ${lines.length} speakers`);
'
fi

# Split into ~5-person batches
split -l 5 {OUTPUT_DIR}/_people_to_enrich.jsonl {OUTPUT_DIR}/_batch_people_

Agent(
  description: "Person enrichment batch aa",
  prompt: <Person Enrichment prompt from workflow.md with all placeholders substituted; PEOPLE_BATCH = cat _batch_people_aa>,
  subagent_type: "general-purpose"
)
Agent(
  description: "Person enrichment batch ab",
  prompt: <same template, PEOPLE_BATCH = cat _batch_people_ab>,
  subagent_type: "general-purpose"
)
... up to 6 per message

ls {OUTPUT_DIR}/people/*.md | wc -l
# Should equal wc -l _people_to_enrich.jsonl

node {SKILL_DIR}/scripts/compile_report.mjs {OUTPUT_DIR} --open

## Event Prospecting Complete — {Event Name}

- **Total speakers extracted**: {count}
- **Unique companies**: {count}
- **ICP fits (score ≥ {threshold})**: {count}
- **Speakers enriched**: {count}
- **Score distribution** (companies):
  - Strong fit (8-10): {count}
  - Partial fit (5-7): {count}
  - Weak fit (1-4): {count}
- **Report opened in browser**: {OUTPUT_DIR}/index.html