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Manually log a time estimate.
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Append a time estimate to workspace/estimate-log/log.jsonl. Use this when:
task description to a freshly-captured estimateInput: $ARGUMENTS
The argument should be a free-form phrase containing both a task description and a duration. Examples:
"port resolve-conflicts skill to hq-core-staging" "1-2h""npm release of hq-cloud@5.7.1, including verification" "30m""HQ Desktop App Tauri build + sign + notarize" "10-30m"Parse arguments
30m, 1-2h, 2 days, ~5min, etc.)Normalize duration
Use the same logic as parse-estimates.pl:
m / min / minutes → minutes (1×)h / hr / hours → minutes (60×)d / day / days → minutes (480× — 8-hour workday)s / sec → minutes (1/60×)1-2h: min_minutes=60, max_minutes=120, expected_minutes=90Categorize
Run the same keyword classifier from parse-estimates.pl against the task description. If unclear, ask the user to confirm or pick from: release, pr, build, deploy, tauri, infra, script, refactor, docs, debug, cli, unknown.
Generate ID
est_<sha1(session_id + iso_ts + task)[0..10]> — same format as auto-capture.
Append entry to log
cat >> workspace/estimate-log/log.jsonl <<EOF
{"id":"est_...","timestamp":"...","session_id":"manual","message_uuid":"manual-<short>","offset":0,"raw":"<duration token>","kind":"estimate","min_minutes":...,"max_minutes":...,"expected_minutes":...,"category":"...","surrounding":"<task>","status":"pending","task":"<task>"}
EOF
Field order should match canonical (alphabetical) so it sorts identically to auto-capture entries.
Report
Tracked: <task>
ID: est_...
Estimate: <human-readable> (<expected_minutes> min, range <min>-<max>)
Category: <category>
When done, run: /finish-estimate <id> <actual-duration>
session_id is set to "manual" to distinguish manual entries from auto-captured ones in /calibration-report./finish-estimate — close it with the actual time/calibration-report — see estimate accuracyNo reviews yet. Tell others what you thought.
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