{
  "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": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/timecamp",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=timecamp",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "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."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "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."
        },
        {
          "label": "Upgrade existing",
          "body": "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."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "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."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/timecamp",
    "agentPageUrl": "https://openagent3.xyz/skills/timecamp/agent",
    "manifestUrl": "https://openagent3.xyz/skills/timecamp/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/timecamp/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "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."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "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."
      },
      {
        "label": "Upgrade existing",
        "body": "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."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "TimeCamp Skill",
        "body": "Two tools: CLI for quick personal actions (timer, entries CRUD) and Data Pipeline for analytics/reports."
      },
      {
        "title": "Bootstrap (clone if missing)",
        "body": "Before using either tool:\n\nAsk user where repos should live (default: ~/utils, but any location is valid).\nIf repos are missing in that chosen location, ask for confirmation to clone.\n\nExample flow and commands:\n\n# Ask first:\n# \"I don't see TimeCamp repos locally. Clone to ~/utils, or use a different location?\"\n\nREPOS_DIR=~/utils  # replace if user picked a different path\nmkdir -p \"$REPOS_DIR\"\n\nif [ ! -d \"$REPOS_DIR/timecamp-cli/.git\" ]; then\n  git clone https://github.com/timecamp-org/timecamp-cli.git \"$REPOS_DIR/timecamp-cli\"\nfi\n\nif [ ! -d \"$REPOS_DIR/good-enough-timecamp-data-pipeline/.git\" ]; then\n  git clone https://github.com/timecamp-org/good-enough-timecamp-data-pipeline.git \"$REPOS_DIR/good-enough-timecamp-data-pipeline\"\nfi"
      },
      {
        "title": "Tool 1: TimeCamp CLI (personal actions)",
        "body": "CLI at ~/utils/timecamp-cli, installed globally via npm link.\n\nIntentCommandCurrent 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"
      },
      {
        "title": "Tool 2: Data Pipeline (analytics & reports)",
        "body": "Python pipeline at ~/utils/good-enough-timecamp-data-pipeline. Use this for all analytics, reports, and bulk data fetching."
      },
      {
        "title": "Run command",
        "body": "cd ~/utils/good-enough-timecamp-data-pipeline && \\\nuv run --with-requirements requirements.txt dlt_fetch_timecamp.py \\\n  --from YYYY-MM-DD --to YYYY-MM-DD \\\n  --datasets DATASETS \\\n  --format jsonl \\\n  --output ~/data/timecamp-data-pipeline"
      },
      {
        "title": "Available datasets",
        "body": "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)"
      },
      {
        "title": "Output structure",
        "body": "Files land in ~/data/timecamp-data-pipeline/timecamp/*.jsonl."
      },
      {
        "title": "Examples",
        "body": "cd ~/utils/good-enough-timecamp-data-pipeline && \\\nuv run --with-requirements requirements.txt dlt_fetch_timecamp.py \\\n  --from 2026-02-11 --to 2026-02-14 \\\n  --datasets entries,users,tasks \\\n  --format jsonl --output ~/data/timecamp-data-pipeline\n\ncd ~/utils/good-enough-timecamp-data-pipeline && \\\nuv run --with-requirements requirements.txt dlt_fetch_timecamp.py \\\n  --from 2026-01-01 --to 2026-02-14 \\\n  --datasets computer_activities,users,application_names \\\n  --format jsonl --output ~/data/timecamp-data-pipeline\n\ncd ~/utils/good-enough-timecamp-data-pipeline && \\\nuv run --with-requirements requirements.txt dlt_fetch_timecamp.py \\\n  --from 2026-01-01 --to 2026-02-14 \\\n  --datasets computer_activities,users,application_names,entries,tasks \\\n  --format jsonl --output ~/data/timecamp-data-pipeline"
      },
      {
        "title": "Analytics with DuckDB",
        "body": "Query the persistent data store directly.\n\nDUCKDB=~/.duckdb/cli/latest/duckdb\nDATA=~/data/timecamp-data-pipeline/timecamp\n\n# Hours per person\n$DUCKDB -c \"\nSELECT user_name, round(sum(TRY_CAST(duration AS DOUBLE))/3600.0, 1) as hours\nFROM read_json_auto('$DATA/entries*.jsonl')\nGROUP BY user_name ORDER BY hours DESC\n\"\n\n# Hours per person per day\n$DUCKDB -c \"\nSELECT user_name, date, round(sum(TRY_CAST(duration AS DOUBLE))/3600.0, 1) as hours\nFROM read_json_auto('$DATA/entries*.jsonl')\nGROUP BY user_name, date ORDER BY user_name, date\n\"\n\n# Top applications by time (join activities with app names)\n$DUCKDB -c \"\nSELECT COALESCE(an.full_name, an.application_name, an.app_name, 'Unknown') as app,\n       round(sum(ca.time_span)/3600.0, 2) as hours\nFROM read_json_auto('$DATA/computer_activities*.jsonl') ca\nLEFT JOIN read_json_auto('$DATA/application_names*.jsonl') an\n  ON ca.application_id = an.application_id\nGROUP BY 1 ORDER BY hours DESC LIMIT 20\n\"\n\n# People who logged < 30h in a given week\n$DUCKDB -c \"\nSELECT user_name, round(sum(TRY_CAST(duration AS DOUBLE))/3600.0, 1) as hours\nFROM read_json_auto('$DATA/entries*.jsonl')\nWHERE date BETWEEN '2026-02-03' AND '2026-02-07'\nGROUP BY user_name\nHAVING sum(TRY_CAST(duration AS DOUBLE))/3600.0 < 30\nORDER BY hours\n\""
      },
      {
        "title": "Pattern",
        "body": "Check existing data range with DuckDB, if data is missing, fetch it with the pipeline, if it's already there, use it\nQuery with DuckDB: $DUCKDB -c \"SELECT ... FROM read_json_auto('$DATA/entries*.jsonl') ...\""
      },
      {
        "title": "Important Notes",
        "body": "Duration (entries) is in seconds (3600 = 1h)\ntime_span (activities) is also in seconds\napplications_cache.json in pipeline dir caches app name lookups\nFor JSONL output, DuckDB glob *.jsonl catches all files for all datasets"
      },
      {
        "title": "Safety",
        "body": "Confirm before adding, updating, or removing entries\nShow the command before executing modifications\nWhen stopping a timer, show what was running first"
      }
    ],
    "body": "TimeCamp Skill\n\nTwo tools: CLI for quick personal actions (timer, entries CRUD) and Data Pipeline for analytics/reports.\n\nBootstrap (clone if missing)\n\nBefore using either tool:\n\nAsk user where repos should live (default: ~/utils, but any location is valid).\nIf repos are missing in that chosen location, ask for confirmation to clone.\n\nExample flow and commands:\n\n# Ask first:\n# \"I don't see TimeCamp repos locally. Clone to ~/utils, or use a different location?\"\n\nREPOS_DIR=~/utils  # replace if user picked a different path\nmkdir -p \"$REPOS_DIR\"\n\nif [ ! -d \"$REPOS_DIR/timecamp-cli/.git\" ]; then\n  git clone https://github.com/timecamp-org/timecamp-cli.git \"$REPOS_DIR/timecamp-cli\"\nfi\n\nif [ ! -d \"$REPOS_DIR/good-enough-timecamp-data-pipeline/.git\" ]; then\n  git clone https://github.com/timecamp-org/good-enough-timecamp-data-pipeline.git \"$REPOS_DIR/good-enough-timecamp-data-pipeline\"\nfi\n\nTool 1: TimeCamp CLI (personal actions)\n\nCLI at ~/utils/timecamp-cli, installed globally via npm link.\n\nIntent\tCommand\nCurrent timer status\ttimecamp status\nStart timer\ttimecamp start --task \"Project A\" --note \"description\"\nStop timer\ttimecamp stop\nToday's entries\ttimecamp entries\nEntries by date\ttimecamp entries --date 2026-02-04\nEntries date range\ttimecamp entries --from 2026-02-01 --to 2026-02-04\nAll users entries\ttimecamp entries --from 2026-02-01 --to 2026-02-04 --all-users\nAdd entry\ttimecamp add-entry --date 2026-02-04 --start 09:00 --end 10:30 --duration 5400 --task \"Project A\" --note \"description\"\nUpdate entry\ttimecamp update-entry --id 101234 --note \"Updated\" --duration 3600\nRemove entry\ttimecamp remove-entry --id 101234\nList tasks\ttimecamp tasks\nTool 2: Data Pipeline (analytics & reports)\n\nPython pipeline at ~/utils/good-enough-timecamp-data-pipeline. Use this for all analytics, reports, and bulk data fetching.\n\nRun command\ncd ~/utils/good-enough-timecamp-data-pipeline && \\\nuv run --with-requirements requirements.txt dlt_fetch_timecamp.py \\\n  --from YYYY-MM-DD --to YYYY-MM-DD \\\n  --datasets DATASETS \\\n  --format jsonl \\\n  --output ~/data/timecamp-data-pipeline\n\nAvailable datasets\nDataset\tDescription\nentries\tTime entries with project/task details\ntasks\tProjects & tasks hierarchy with breadcrumb paths\ncomputer_activities\tDesktop app tracking data\nusers\tUser details with group info and enabled status\napplication_names\tApplication lookup table (ID → name, category)\nFormats: ``jsonl`\nOutput structure\n\nFiles land in ~/data/timecamp-data-pipeline/timecamp/*.jsonl.\n\nExamples\ncd ~/utils/good-enough-timecamp-data-pipeline && \\\nuv run --with-requirements requirements.txt dlt_fetch_timecamp.py \\\n  --from 2026-02-11 --to 2026-02-14 \\\n  --datasets entries,users,tasks \\\n  --format jsonl --output ~/data/timecamp-data-pipeline\n\ncd ~/utils/good-enough-timecamp-data-pipeline && \\\nuv run --with-requirements requirements.txt dlt_fetch_timecamp.py \\\n  --from 2026-01-01 --to 2026-02-14 \\\n  --datasets computer_activities,users,application_names \\\n  --format jsonl --output ~/data/timecamp-data-pipeline\n\ncd ~/utils/good-enough-timecamp-data-pipeline && \\\nuv run --with-requirements requirements.txt dlt_fetch_timecamp.py \\\n  --from 2026-01-01 --to 2026-02-14 \\\n  --datasets computer_activities,users,application_names,entries,tasks \\\n  --format jsonl --output ~/data/timecamp-data-pipeline\n\nAnalytics with DuckDB\n\nQuery the persistent data store directly.\n\nDUCKDB=~/.duckdb/cli/latest/duckdb\nDATA=~/data/timecamp-data-pipeline/timecamp\n\n# Hours per person\n$DUCKDB -c \"\nSELECT user_name, round(sum(TRY_CAST(duration AS DOUBLE))/3600.0, 1) as hours\nFROM read_json_auto('$DATA/entries*.jsonl')\nGROUP BY user_name ORDER BY hours DESC\n\"\n\n# Hours per person per day\n$DUCKDB -c \"\nSELECT user_name, date, round(sum(TRY_CAST(duration AS DOUBLE))/3600.0, 1) as hours\nFROM read_json_auto('$DATA/entries*.jsonl')\nGROUP BY user_name, date ORDER BY user_name, date\n\"\n\n# Top applications by time (join activities with app names)\n$DUCKDB -c \"\nSELECT COALESCE(an.full_name, an.application_name, an.app_name, 'Unknown') as app,\n       round(sum(ca.time_span)/3600.0, 2) as hours\nFROM read_json_auto('$DATA/computer_activities*.jsonl') ca\nLEFT JOIN read_json_auto('$DATA/application_names*.jsonl') an\n  ON ca.application_id = an.application_id\nGROUP BY 1 ORDER BY hours DESC LIMIT 20\n\"\n\n# People who logged < 30h in a given week\n$DUCKDB -c \"\nSELECT user_name, round(sum(TRY_CAST(duration AS DOUBLE))/3600.0, 1) as hours\nFROM read_json_auto('$DATA/entries*.jsonl')\nWHERE date BETWEEN '2026-02-03' AND '2026-02-07'\nGROUP BY user_name\nHAVING sum(TRY_CAST(duration AS DOUBLE))/3600.0 < 30\nORDER BY hours\n\"\n\nPattern\nCheck existing data range with DuckDB, if data is missing, fetch it with the pipeline, if it's already there, use it\nQuery with DuckDB: $DUCKDB -c \"SELECT ... FROM read_json_auto('$DATA/entries*.jsonl') ...\"\nImportant Notes\nDuration (entries) is in seconds (3600 = 1h)\ntime_span (activities) is also in seconds\napplications_cache.json in pipeline dir caches app name lookups\nFor JSONL output, DuckDB glob *.jsonl catches all files for all datasets\nSafety\nConfirm before adding, updating, or removing entries\nShow the command before executing modifications\nWhen stopping a timer, show what was running first"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/kamil-rudnicki/timecamp",
    "publisherUrl": "https://clawhub.ai/kamil-rudnicki/timecamp",
    "owner": "kamil-rudnicki",
    "version": "1.1.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "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"
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}