Query: work kanban task t_82c9a259 Initializing agent... ──────────────────────────────────────── ┊ 📋 preparing kanban_show… ┊ ⚡ kanban_sh 0.0s ┊ 💻 preparing terminal… ┊ 💻 $ hermes kanban --help 1.1s ┊ 💻 preparing terminal… ┊ 📖 preparing read_file… ┊ 📖 preparing read_file… ┊ 📖 preparing read_file… ┊ 📖 read b2b_transport_seo_keywords.md L1-100 0.4s ┊ 📖 preparing read_file… ┊ 💻 preparing terminal… ┊ 💻 $ python3 -c " import json with open('projects/corporate/GLV/seo-dashboard-app/public/seo_raw_data.json') as f: d = json.load(f) print('Keys:', list(d.keys())) for k in d: if isinstance(d[k], list): print(f'{k}: list of {len(d[k])} items') if len(d[k]) > 0: print(' Sample:', d[k][0]) elif isinstance(d[k], dict): print(f'{k}: dict with keys {list(d[k].keys())}') else: print(f'{k}: {d[k]}') " 1.4s ┊ 💻 preparing terminal… ┊ 💻 preparing terminal… ┊ 🔎 preparing search_files… ┊ 🔎 find * 0.1s ┊ 📖 preparing read_file… ┊ 📖 read knowledge_base.md L1-100 0.1s ┊ 💻 preparing terminal… ┊ 💻 $ python3 -c " import json with open('projects/corporate/GLV/seo-dashboard-app/public/seo_raw_data.json') as f: d = json.load(f) print('Period:', d['current_period'], 'vs', d['previous_period']) total_sessions_curr = sum(x['sessions'] for x in d['ga4_daily_current']) total_sessions_prev = sum(x['sessions'] for x in d['ga4_daily_previous']) print(f'Total sessions: curr={total_sessions_curr}, prev={total_sessions_prev}') print('GA4 Events:') for e in d['ga4_events']: print(f' {e[\"name\"]}: {e[\"count\"]}') print('\nGA4 Channels (Current):') for c in d['ga4_channels_current']: print(f' {c[\"channel\"]}: {c[\"sessions\"]} sessions, {c[\"engaged_sessions\"]} engaged, rate={c[\"engagement_rate\"]:.2%}') print('\nGSC Quick Wins (Impressions > 100, Position 9 - 15):') qw = [] for q in d['gsc_queries']: pos = float(q['position']) imp = int(q['impressions']) if imp > 100 and 8.0 <= pos <= 16.0: qw.append(q) for q in qw: print(q) print('\nGSC Top Performing Queries (Clicks > 0):') for q in d['gsc_queries']: if q['clicks'] > 0: print(q) " 1.5s ┊ ✍️ preparing write_file… ┊ ✍️ write projects/corporate/GLV/reports/glv_weekly_seo_digest.md 0.3s ┊ 💻 preparing terminal… ┊ 💻 $ python3 -c " with open('projects/corporate/GLV/reports/glv_weekly_seo_digest.md') as f: text = f.read() import unicodedata dashes = ['-', '–', '—', '−', '\u2010', '\u2011', '\u2012', '\u2013', '\u2014', '\u2015'] found = [ch for ch in text if ch in dashes] print('Found dashes:', len(found)) " 0.3s ┊ 💻 preparing terminal… ┊ 💻 preparing terminal… ┊ 💻 preparing terminal… ┊ 💻 preparing terminal… ┊ 💻 preparing terminal… ┊ 💻 preparing terminal… ┊ 💻 preparing terminal… Query: work kanban task t_82c9a259 Initializing agent... ──────────────────────────────────────── ┊ 📋 preparing kanban_show… ┊ ⚡ kanban_sh 0.0s ┊ 🔎 preparing search_files… ┊ 🔎 find * 2.0s ┊ 📖 preparing read_file… ┊ 📖 preparing read_file… ┊ 📖 preparing read_file… ┊ 📖 preparing read_file… ┊ 📖 read seo_raw_data.json 0.3s ┊ 💻 preparing terminal… ┊ 💻 $ python3 -c " import json with open('projects/corporate/GLV/seo-dashboard-app/public/seo_raw_data.json') as f: data = json.load(f) print('Keys:', list(data.keys())) " 1.7s ┊ 💻 preparing terminal… ┊ 💻 preparing terminal… ┊ 💻 preparing terminal… ┊ 📖 preparing read_file… ┊ 📖 read glv_weekly_seo_digest.md 0.1s ┊ 💻 preparing terminal… ┊ 💻 $ hermes kanban --help 0.8s ┊ 💻 preparing terminal… ┊ 💻 preparing terminal… ┊ 💻 preparing terminal… ┊ ✍️ preparing write_file… ┊ ✍️ write projects/corporate/GLV/reports/glv_weekly_seo_digest.md 0.2s ┊ 💻 preparing terminal… ┊ 💻 $ hermes kanban assign t_82c9a259 bd-mkt 1.2s [exit 1] ┊ 💻 preparing terminal… ┊ 💻 preparing terminal…