Indexé dans Registry

worklog-logging

Prix non confirmé★ 30 Stars GitHubRegistre mis à jour · 11 sept. 2026agent-skill

Vue d’ensemble

Lightweight work logger that captures what you accomplished in each Claude session. TRIGGER THIS SKILL when any of the following occur: (1) A session is ending or context is about to be compacted — capture what was done before it's lost. (2) At periodic context checkpoints (~25%, ~50%, ~75%) — routine logging, not a signal to stop. (3) The self-improve skill fires — piggyback on that trigger to also log work. (4) The user says "log this", "worklog", or wants to record what they've been doing. This skill ONLY handles logging — for standups, weekly summaries, monthly reviews, or any analysis of past work, use the worklog-analysis skill instead. Use this skill liberally. It's cheap to log and expensive to forget. IMPORTANT: After logging at a periodic checkpoint, resume the current task immediately. Never suggest ending the session, starting fresh, or doing a handoff.

Lire la documentation complète

Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

Worklog Logging

Capture what was accomplished in this session. This skill is intentionally lightweight — it logs and gets out of the way.

Storage

Files go to ~/Documents/AI/worklog/ for cross-device sync:

~/Documents/AI/worklog/
├── 2026-03-08-macbook-pro.md
├── 2026-03-08-mac-mini.md
├── 2026-03-07-macbook-pro.md
└── ...

Naming: YYYY-MM-DD-{hostname}.md — date-first for chronological sorting.

Fallback: ~/.claude/worklog/

Entry format

### HH:MM — [Project/Context] `sess-XXXX`

**Summary:**
- [What problem was solved and WHY — enough detail for a resume or performance review]
- [What was researched, what was learned, what conclusions were reached]
- [Key decisions made and their reasoning]

**Decisions:** [Optional — architectural or design decisions]

**Artifacts:** [Optional — PRs, deployments, docs created]

**Open:** [Optional — what's still pending]

---

Session ID (sess-XXXX): Derived from Claude's session_id (first 4 chars of the UUID), ensuring consistency across all entries in a session — PreCompact and SessionEnd hooks produce matching IDs. This distinguishes parallel sessions on the same machine.

What makes a good entry

Write as if explaining to a colleague or updating a resume months from now.

GOOD bullets — tell the story:

Fixed NaN in annualized return calculation — JS Math.pow fails with negative base + fractional exponent, added guard for total loss exceeding invested capital
Debugged worklog hooks not firing — root cause was Python 3.10 type syntax (dict | None) crashing on macOS system Python 3.9.6
Completed security audit of 98-file branch — reviewed branding APIs, file upload handlers, confirmed proper auth/RBAC checks and file validation
Researched IPv6 CIDR validation approaches, settled on ipaddr library for subnet handling

BAD bullets — mechanical noise:

Edited performance.ts
Ran 4 shell commands
Used TypeScript
Modified 3 files

Focus on the WHAT and WHY, never the HOW (tools used, files touched, tech stack). Those details are in git history if anyone needs them.

Checkpoint mode vs. interactive mode

Checkpoint triggers (~25/50/75% context):

Auto-save worklog silently — no confirmation needed for worklog entries
If self-improve also fires at this checkpoint, it handles its own user interaction separately
After saving, resume the current task without comment

All other triggers (session ending, explicit "log this", self-improve piggybacking) use the interactive flow below.

Process (interactive mode)

Gather context: hostname -s for machine, date for time, infer project from cwd/git/conversation
Draft entry: Focus on outcomes, decisions, problems solved. Be specific enough for a performance review months later.

Show user:

Worklog entry:
[the entry]
Save to worklog?

On confirmation, persist: Run the bundled Python script:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/write_worklog.py" \
  --date "2026-03-08" --time "14:30" --machine "macbook-pro" \
  --session "sess-f3a1" --project "acme-api" \
  --summary '["Fixed auth token refresh race condition — stale tokens survived logout", "Researched PKCE vs implicit flow, chose PKCE for public client security"]' \
  --decisions "Chose PKCE over implicit flow" \
  --artifacts "PR #142" --open "Update API docs"

Auto-capture via hooks

Hooks in hooks/hooks.json fire on PreCompact, /clear, and SessionEnd. Each reads the transcript, uses claude -p --model sonnet to generate a narrative summary, and persists it via write_worklog.py. Falls back to smart transcript parsing if the claude CLI is unavailable.

The same hook also detects user steering patterns and logs them via write_preferences.py --target log-only to ~/Documents/AI/self-improve/preferences-log.md. Steers are NOT auto-applied to CLAUDE.md — use the self-improve skill to review and promote them.

Integration with self-improve

When self-improve fires in interactive mode, also trigger this skill. Present both outputs (preferences learned + worklog entry) in a single confirmation. One interruption, two outputs saved.

When self-improve fires in checkpoint mode, worklog auto-saves silently while self-improve handles its own user interaction (options prompt) if patterns were found.

Voir la source ↗

Métadonnées du fichier

name: worklog-logging
description: >
  Lightweight work logger that captures what you accomplished in each Claude session.
  TRIGGER THIS SKILL when any of the following occur:
  (1) A session is ending or context is about to be compacted — capture what was done before it's lost.
  (2) At periodic context checkpoints (~25%, ~50%, ~75%) — routine logging, not a signal to stop.
  (3) The self-improve skill fires — piggyback on that trigger to also log work.
  (4) The user says "log this", "worklog", or wants to record what they've been doing.
  This skill ONLY handles logging — for standups, weekly summaries, monthly reviews, or any
  analysis of past work, use the worklog-analysis skill instead.
  Use this skill liberally. It's cheap to log and expensive to forget.
  IMPORTANT: After logging at a periodic checkpoint, resume the current task immediately.
  Never suggest ending the session, starting fresh, or doing a handoff.

Voir le texte original

---
name: worklog-logging
description: >
Lightweight work logger that captures what you accomplished in each Claude session.
TRIGGER THIS SKILL when any of the following occur:
(1) A session is ending or context is about to be compacted — capture what was done before it's lost.
(2) At periodic context checkpoints (~25%, ~50%, ~75%) — routine logging, not a signal to stop.
(3) The self-improve skill fires — piggyback on that trigger to also log work.
(4) The user says "log this", "worklog", or wants to record what they've been doing.
This skill ONLY handles logging — for standups, weekly summaries, monthly reviews, or any
analysis of past work, use the worklog-analysis skill instead.
Use this skill liberally. It's cheap to log and expensive to forget.
IMPORTANT: After logging at a periodic checkpoint, resume the current task immediately.
Never suggest ending the session, starting fresh, or doing a handoff.
---

# Worklog Logging

Capture what was accomplished in this session. This skill is intentionally lightweight — it logs and gets out of the way.

## Storage

Files go to `~/Documents/AI/worklog/` for cross-device sync:

```
~/Documents/AI/worklog/
├── 2026-03-08-macbook-pro.md
├── 2026-03-08-mac-mini.md
├── 2026-03-07-macbook-pro.md
└── ...
```

**Naming**: `YYYY-MM-DD-{hostname}.md` — date-first for chronological sorting.

Fallback: `~/.claude/worklog/`

## Entry format

```markdown
### HH:MM — [Project/Context] `sess-XXXX`

**Summary:**
- [What problem was solved and WHY — enough detail for a resume or performance review]
- [What was researched, what was learned, what conclusions were reached]
- [Key decisions made and their reasoning]

**Decisions:** [Optional — architectural or design decisions]

**Artifacts:** [Optional — PRs, deployments, docs created]

**Open:** [Optional — what's still pending]

---
```

**Session ID** (`sess-XXXX`): Derived from Claude's `session_id` (first 4 chars of the UUID), ensuring consistency across all entries in a session — PreCompact and SessionEnd hooks produce matching IDs. This distinguishes parallel sessions on the same machine.

## What makes a good entry

Write as if explaining to a colleague or updating a resume months from now.

**GOOD bullets — tell the story:**
- Fixed NaN in annualized return calculation — JS Math.pow fails with negative base + fractional exponent, added guard for total loss exceeding invested capital
- Debugged worklog hooks not firing — root cause was Python 3.10 type syntax (dict | None) crashing on macOS system Python 3.9.6
- Completed security audit of 98-file branch — reviewed branding APIs, file upload handlers, confirmed proper auth/RBAC checks and file validation
- Researched IPv6 CIDR validation approaches, settled on ipaddr library for subnet handling

**BAD bullets — mechanical noise:**
- Edited performance.ts
- Ran 4 shell commands
- Used TypeScript
- Modified 3 files

Focus on the WHAT and WHY, never the HOW (tools used, files touched, tech stack). Those details are in git history if anyone needs them.

## Checkpoint mode vs. interactive mode

**Checkpoint triggers (~25/50/75% context):**
- Auto-save worklog silently — no confirmation needed for worklog entries
- If self-improve also fires at this checkpoint, it handles its own user interaction separately
- After saving, resume the current task without comment

**All other triggers** (session ending, explicit "log this", self-improve piggybacking) use the interactive flow below.

## Process (interactive mode)

1. **Gather context**: `hostname -s` for machine, `date` for time, infer project from cwd/git/conversation
2. **Draft entry**: Focus on outcomes, decisions, problems solved. Be specific enough for a performance review months later.
3. **Show user**:
```
Worklog entry:
[the entry]
Save to worklog?
```
4. **On confirmation, persist**:
Run the bundled Python script:
```bash
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/write_worklog.py" \
--date "2026-03-08" --time "14:30" --machine "macbook-pro" \
--session "sess-f3a1" --project "acme-api" \
--summary '["Fixed auth token refresh race condition — stale tokens survived logout", "Researched PKCE vs implicit flow, chose PKCE for public client security"]' \
--decisions "Chose PKCE over implicit flow" \
--artifacts "PR #142" --open "Update API docs"
```

## Auto-capture via hooks

Hooks in `hooks/hooks.json` fire on PreCompact, `/clear`, and SessionEnd. Each reads the transcript, uses `claude -p --model sonnet` to generate a narrative summary, and persists it via `write_worklog.py`. Falls back to smart transcript parsing if the `claude` CLI is unavailable.

The same hook also detects user steering patterns and logs them via `write_preferences.py --target log-only` to `~/Documents/AI/self-improve/preferences-log.md`. Steers are NOT auto-applied to CLAUDE.md — use the self-improve skill to review and promote them.

## Integration with self-improve

When self-improve fires in **interactive mode**, also trigger this skill. Present both outputs (preferences learned + worklog entry) in a single confirmation. One interruption, two outputs saved.

When self-improve fires in **checkpoint mode**, worklog auto-saves silently while self-improve handles its own user interaction (options prompt) if patterns were found.

Examiner la source

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Licence: MIT
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Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Low GitHub adoption signal
L’approbation de revue IA est absente
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 30 GitHub stars
Stars/forks activity: 30 stars, 1 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéContrôle statique

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: thumperL/claude-worktrace
Licence: MIT
Version: Unknown
Dernier push GitHub: 10 août 2026
Registre mis à jour: 11 sept. 2026
Chemin des instructions: skills/worklog-logging/SKILL.md @ 52513e14a13e

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

50/100

Revue nécessaire

Confiance

58/100

Do not auto-install

Audit

68/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Low GitHub adoption signal
L’approbation de revue IA est absente
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 30 GitHub stars
Stars/forks activity: 30 stars, 1 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

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Plus de détails

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    "description": "Lightweight work logger that captures what you accomplished in each Claude session. TRIGGER THIS SKILL when any of the following occur: (1) A session is ending or context is about to be compacted — capture what was done before it's lost. (2) At periodic context checkpoints (~25%, ~50%, ~75%) — routine logging, not a signal to stop. (3) The self-improve skill fires — piggyback on that trigger to also log work. (4) The user says \"log this\", \"worklog\", or wants to record what they've been doing. This skill ONLY handles logging — for standups, weekly summaries, monthly reviews, or any analysis of past work, use the worklog-analysis skill instead. Use this skill liberally. It's cheap to log and expensive to forget. IMPORTANT: After logging at a periodic checkpoint, resume the current task immediately. Never suggest ending the session, starting fresh, or doing a handoff.",
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    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "Low GitHub adoption signal",
      "AI review approval is missing",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 50,
    "label": "Needs review"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "Research agents",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "yanliudesign-mono-color-skill",
      "name": "mono-color",
      "url": "https://www.openagentskill.com/skills/yanliudesign-mono-color-skill",
      "stars": 1919,
      "install_command": "npx skills add yanliudesign/mono-color-skill --skill mono-color",
      "trust_score": 83,
      "audit_score": 90
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "AI review approval is missing"
  ],
  "agent_contract": {
    "task_input": "Use worklog-logging in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 66/100 Manual review",
      "Audit: 68/100 Needs review",
      "Safety: 28/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "thumperl-worklog-logging (worklog-logging)",
      "install_command": "npx skills add thumperL/claude-worktrace --skill worklog-logging",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "thumperl-worklog-logging",
      "task": "Use worklog-logging in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/thumperl-worklog-logging",
    "api": "https://www.openagentskill.com/api/agent/skills/thumperl-worklog-logging",
    "audit": "https://www.openagentskill.com/skills/thumperl-worklog-logging/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=thumperl-worklog-logging&task=Use%20worklog-logging%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20worklog-logging%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20worklog-logging%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/thumperl-worklog-logging/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/thumperl-worklog-logging"
  }
}

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Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur: thumperL
Source: thumperL/claude-worktrace
Indexé par: Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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