marcus/td/td-task-management
Claude Code and agent skill by marcus/td
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Task management for AI agents across context windows. Use when agents need to track work, log progress, hand off state, and maintain context across sessions. Includes workflows for single-issue focus, multi-issue work sessions, and structured handoffs. Essential for AI-assisted development where context windows reset between sessions.
Install
npx vskill@latest install marcus/td/td-task-managementSKILL.md
td - Task Management for AI Agents
Overview
td is a minimalist CLI for tracking tasks and maintaining agent memory across context windows. When your AI session ends, td captures what was done, what remains, and what decisions were made—so the next session picks up exactly where the last one left off.
Core capability: Run td usage and get everything needed for the next action—current focus, pending reviews, open issues, recent decisions.
Quick Start
Starting a New Agent Context
Use td usage without -q when workflow guidance would be useful. Status output includes:
- Active work sessions and recent decisions
- What issues are pending review (you can review these)
- Highest priority open issues
- Recent handoffs from previous sessions
Single-Issue Workflow
For focused work on one issue:
Multi-Issue Workflow
For agents handling related issues:
Key Workflows
Workflow 1: Starting New Work
Workflow 2: Handing Off Work
Use a structured handoff when work will continue in another context:
Keys:
--done- What is complete--remaining- What remains--decision- Why you chose approach X--uncertain- What you're unsure about
Next session will see all this context with td usage or td context <id>.
Workflow 3: Reviewing Code
Independent review is preferred when practical. The default trusted mode also lets an involved session approve by saying who reviewed the work: --reviewed-by "<who>" credits someone else, --self-review --reason owns it. Both are recorded and neither is verifiable by td, so never name a reviewer who did not review — that reads as independent in the audit trail, which is worse than an honest self-review. In delegated and strict an involved session cannot approve at all.
Workflow 4: Handling Blockers
Commands by Category
Checking Status
td usage- Current state, reviews, next stepstd usage -q- Compact current statetd current- What you're working ontd ws current- Current work session statetd next- Highest priority opentd critical-path- What unblocks most work
Working on Issues
td start <id>- Begin worktd unstart <id>- Revert to open (undo accidental start)td log "msg"- Track progresstd log --decision "..."- Log decisiontd log --blocker "..."- Log blockertd show <id>- View detailstd context <id>- Full context for resuming
Handing Off
td handoff <id> --done "..." --remaining "..."- Single issuetd ws handoff- Multi-issue work session
Reviews
td review <id>- Submit for reviewtd reviewable- Issues you can reviewtd approve <id> --reason "..."- Approve an independent reviewtd approve <id> --reviewed-by "<who>"- Record who reviewed it when that is not you (trusted mode)td approve <id> --self-review --reason "..."- Acknowledge and record a trusted-mode self-reviewtd approve <id> --record-only --reason "..."- Attest without closing; any session closes aftertd reject <id> --reason "..."- Reject
Creating/Managing Issues
td create "title" --type feature --priority P1- Createtd create "title" --description-file body.md --acceptance-file acceptance.md- Agent-safe rich textcat body.md | td update <id> --append --description-file -- Append rich text from stdintd list- List alltd list --status in_progress- Filter by statustd block <id>- Mark as blockedtd delete <id>- Delete
File Tracking
td link <id> <files...>- Track files with issuetd files <id>- Show file changes
Other
td monitor- Live dashboardtd session --new "name"- Force new sessiontd undo- Undo last action
See quick_reference.md for full command listing.
Resources
quick_reference.md
Complete command reference organized by task type.
ai_agent_workflows.md
Detailed workflows for common AI agent scenarios:
- Single-issue focus
- Multi-issue work sessions
- Handling blockers
- Resuming work
- Code review process
- Tips for AI agents
Issue Lifecycle
Key Principles
Session Isolation: Every terminal/context gets a session ID for continuity and audit. Independent review is preferred; trusted mode also lets an involved session approve by recording who actually reviewed the work.
Structured Handoffs: Record done/remaining/decisions/uncertain when another context will need to continue the work.
Minimal: Does one thing. Single binary, SQLite local storage (.todos/), no server, works with any AI tool.
For AI Agents
At the start of a new agent context:
This auto-rotates sessions and gives you compact current state. Use judgment about how much tracking detail each task needs:
- Single focused issue → Use single-issue workflow
- Multiple related issues → Use
td ws startfor work sessions - Work will continue elsewhere → Use
td handoffortd ws handoff - A decision aids continuity → Log it with
--decision - An uncertainty matters → Record it with
--uncertain - Track files → Use
td linkso future sessions know what changed
See ai_agent_workflows.md for detailed examples.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingtd-task-management/SKILL.md
Popularity
- Repository stars
- 255
- Repository forks
- 30
- 7-day trend score
- 28
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 17 May 2026, 5 months ago.
Works with
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