# Send TimeCamp to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "timecamp",
    "name": "TimeCamp",
    "source": "tencent",
    "type": "skill",
    "category": "效率提升",
    "sourceUrl": "https://clawhub.ai/kamil-rudnicki/timecamp",
    "canonicalUrl": "https://clawhub.ai/kamil-rudnicki/timecamp",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/timecamp",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=timecamp",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "timecamp",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-01T11:31:44.994Z",
      "expiresAt": "2026-05-08T11:31:44.994Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=timecamp",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=timecamp",
        "contentDisposition": "attachment; filename=\"timecamp-1.1.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "timecamp"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/timecamp"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/timecamp",
    "downloadUrl": "https://openagent3.xyz/downloads/timecamp",
    "agentUrl": "https://openagent3.xyz/skills/timecamp/agent",
    "manifestUrl": "https://openagent3.xyz/skills/timecamp/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/timecamp/agent.md"
  }
}
```
## Documentation

### TimeCamp Skill

Two tools: CLI for quick personal actions (timer, entries CRUD) and Data Pipeline for analytics/reports.

### Bootstrap (clone if missing)

Before using either tool:

Ask user where repos should live (default: ~/utils, but any location is valid).
If repos are missing in that chosen location, ask for confirmation to clone.

Example flow and commands:

# Ask first:
# "I don't see TimeCamp repos locally. Clone to ~/utils, or use a different location?"

REPOS_DIR=~/utils  # replace if user picked a different path
mkdir -p "$REPOS_DIR"

if [ ! -d "$REPOS_DIR/timecamp-cli/.git" ]; then
  git clone https://github.com/timecamp-org/timecamp-cli.git "$REPOS_DIR/timecamp-cli"
fi

if [ ! -d "$REPOS_DIR/good-enough-timecamp-data-pipeline/.git" ]; then
  git clone https://github.com/timecamp-org/good-enough-timecamp-data-pipeline.git "$REPOS_DIR/good-enough-timecamp-data-pipeline"
fi

### Tool 1: TimeCamp CLI (personal actions)

CLI at ~/utils/timecamp-cli, installed globally via npm link.

IntentCommandCurrent timer statustimecamp statusStart timertimecamp start --task "Project A" --note "description"Stop timertimecamp stopToday's entriestimecamp entriesEntries by datetimecamp entries --date 2026-02-04Entries date rangetimecamp entries --from 2026-02-01 --to 2026-02-04All users entriestimecamp entries --from 2026-02-01 --to 2026-02-04 --all-usersAdd entrytimecamp add-entry --date 2026-02-04 --start 09:00 --end 10:30 --duration 5400 --task "Project A" --note "description"Update entrytimecamp update-entry --id 101234 --note "Updated" --duration 3600Remove entrytimecamp remove-entry --id 101234List taskstimecamp tasks

### Tool 2: Data Pipeline (analytics & reports)

Python pipeline at ~/utils/good-enough-timecamp-data-pipeline. Use this for all analytics, reports, and bulk data fetching.

### Run command

cd ~/utils/good-enough-timecamp-data-pipeline && \\
uv run --with-requirements requirements.txt dlt_fetch_timecamp.py \\
  --from YYYY-MM-DD --to YYYY-MM-DD \\
  --datasets DATASETS \\
  --format jsonl \\
  --output ~/data/timecamp-data-pipeline

### Available datasets

DatasetDescriptionentriesTime entries with project/task detailstasksProjects & tasks hierarchy with breadcrumb pathscomputer_activitiesDesktop app tracking datausersUser details with group info and enabled statusapplication_namesApplication lookup table (ID → name, category)

### Output structure

Files land in ~/data/timecamp-data-pipeline/timecamp/*.jsonl.

### Examples

cd ~/utils/good-enough-timecamp-data-pipeline && \\
uv run --with-requirements requirements.txt dlt_fetch_timecamp.py \\
  --from 2026-02-11 --to 2026-02-14 \\
  --datasets entries,users,tasks \\
  --format jsonl --output ~/data/timecamp-data-pipeline

cd ~/utils/good-enough-timecamp-data-pipeline && \\
uv run --with-requirements requirements.txt dlt_fetch_timecamp.py \\
  --from 2026-01-01 --to 2026-02-14 \\
  --datasets computer_activities,users,application_names \\
  --format jsonl --output ~/data/timecamp-data-pipeline

cd ~/utils/good-enough-timecamp-data-pipeline && \\
uv run --with-requirements requirements.txt dlt_fetch_timecamp.py \\
  --from 2026-01-01 --to 2026-02-14 \\
  --datasets computer_activities,users,application_names,entries,tasks \\
  --format jsonl --output ~/data/timecamp-data-pipeline

### Analytics with DuckDB

Query the persistent data store directly.

DUCKDB=~/.duckdb/cli/latest/duckdb
DATA=~/data/timecamp-data-pipeline/timecamp

# Hours per person
$DUCKDB -c "
SELECT user_name, round(sum(TRY_CAST(duration AS DOUBLE))/3600.0, 1) as hours
FROM read_json_auto('$DATA/entries*.jsonl')
GROUP BY user_name ORDER BY hours DESC
"

# Hours per person per day
$DUCKDB -c "
SELECT user_name, date, round(sum(TRY_CAST(duration AS DOUBLE))/3600.0, 1) as hours
FROM read_json_auto('$DATA/entries*.jsonl')
GROUP BY user_name, date ORDER BY user_name, date
"

# Top applications by time (join activities with app names)
$DUCKDB -c "
SELECT COALESCE(an.full_name, an.application_name, an.app_name, 'Unknown') as app,
       round(sum(ca.time_span)/3600.0, 2) as hours
FROM read_json_auto('$DATA/computer_activities*.jsonl') ca
LEFT JOIN read_json_auto('$DATA/application_names*.jsonl') an
  ON ca.application_id = an.application_id
GROUP BY 1 ORDER BY hours DESC LIMIT 20
"

# People who logged < 30h in a given week
$DUCKDB -c "
SELECT user_name, round(sum(TRY_CAST(duration AS DOUBLE))/3600.0, 1) as hours
FROM read_json_auto('$DATA/entries*.jsonl')
WHERE date BETWEEN '2026-02-03' AND '2026-02-07'
GROUP BY user_name
HAVING sum(TRY_CAST(duration AS DOUBLE))/3600.0 < 30
ORDER BY hours
"

### Pattern

Check existing data range with DuckDB, if data is missing, fetch it with the pipeline, if it's already there, use it
Query with DuckDB: $DUCKDB -c "SELECT ... FROM read_json_auto('$DATA/entries*.jsonl') ..."

### Important Notes

Duration (entries) is in seconds (3600 = 1h)
time_span (activities) is also in seconds
applications_cache.json in pipeline dir caches app name lookups
For JSONL output, DuckDB glob *.jsonl catches all files for all datasets

### Safety

Confirm before adding, updating, or removing entries
Show the command before executing modifications
When stopping a timer, show what was running first
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: kamil-rudnicki
- Version: 1.1.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-01T11:31:44.994Z
- Expires at: 2026-05-08T11:31:44.994Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/timecamp)
- [Send to Agent page](https://openagent3.xyz/skills/timecamp/agent)
- [JSON manifest](https://openagent3.xyz/skills/timecamp/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/timecamp/agent.md)
- [Download page](https://openagent3.xyz/downloads/timecamp)