Memory Tasks
basicmachines-co/basic-memory
Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction.
Task management for AI agents across context windows. An agent skill from marcus/td.
$ npx skills add marcus/td --skill td-task-management -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install marcus/td td-task-management --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/marcus/td.git skills-src && mkdir -p .claude/skills && cp -r skills-src/td-task-management .claude/skills/td-task-management && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "td-task-management" agent skill from https://github.com/marcus/td/tree/main/td-task-management into .claude/skills/td-task-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "td-task-management", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/marcus/td/tree/main/td-task-managementType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add marcus/td --skill td-task-management -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install marcus/td td-task-management --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marcus/td.git skills-src && mkdir -p .agents/skills && cp -r skills-src/td-task-management .agents/skills/td-task-management && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "td-task-management" agent skill from https://github.com/marcus/td/tree/main/td-task-management into .agents/skills/td-task-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "td-task-management", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add marcus/td --skill td-task-management -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install marcus/td td-task-management --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marcus/td.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/td-task-management .cursor/skills/td-task-management && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "td-task-management" agent skill from https://github.com/marcus/td/tree/main/td-task-management into .cursor/skills/td-task-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "td-task-management", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/marcus/td.git --path td-task-management--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add marcus/td --skill td-task-management -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install marcus/td td-task-management --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marcus/td.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/td-task-management .gemini/skills/td-task-management && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "td-task-management" agent skill from https://github.com/marcus/td/tree/main/td-task-management into .gemini/skills/td-task-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "td-task-management", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install marcus/td td-task-managementInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add marcus/td --skill td-task-management -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/marcus/td.git skills-src && mkdir -p .github/skills && cp -r skills-src/td-task-management .github/skills/td-task-management && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "td-task-management" agent skill from https://github.com/marcus/td/tree/main/td-task-management into .github/skills/td-task-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "td-task-management", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add marcus/td --skill td-task-management -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install marcus/td td-task-management --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marcus/td.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/td-task-management .opencode/skills/td-task-management && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "td-task-management" agent skill from https://github.com/marcus/td/tree/main/td-task-management into .opencode/skills/td-task-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "td-task-management", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
td-task-managementTask management for AI agents across context windows. An agent skill from marcus/td.
Td Task Management is an agent skill from marcus/td. 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.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/ai_agent_workflows.md` and `references/quick_reference.md`).
It sits in Productivity & Automation, covering Task management and Context engineering. The repository describes itself as: A minimalist CLI for tracking tasks across AI coding sessions. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b206bbf. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Td Task Management loads about 2k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 720 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from marcus/td at commit b206bbf, republished under its MIT licence (© marcus). 720 words, ~1,993 tokens.
.claude/skills/td-task-management/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.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.
td usage --new-session -q # Auto-rotate and show compact current stateUse td usage without -q when workflow guidance would be useful. Status
output includes:
For focused work on one issue:
td start <issue-id> # Begin work
td log "OAuth callback implemented" # Track progress
td log --decision "Using JWT tokens" # Log decisions
td handoff <id> --done "..." --remaining "..." # Capture state
td review <id> # Submit for reviewFor agents handling related issues:
td ws start "Auth implementation" # Start work session
td ws tag td-a1b2 td-c3d4 # Associate issues (auto-starts them)
td ws tag --no-start td-e5f6 # Associate without starting
td ws log "Shared token storage" # Log to all tagged issues
td ws handoff # Capture state, end session# 1. Check what to work on
td usage # See current state
td next # Highest priority open issue
td critical-path # What unblocks most work
# 2. Start work
td start <id>
# 3. Begin logging
td log "Started implementation"Use a structured handoff when work will continue in another context:
td handoff <id> \
--done "OAuth flow, token storage" \
--remaining "Refresh token rotation, error handling" \
--decision "Using JWT for stateless auth" \
--uncertain "Should tokens expire on password change?"Keys:
--done - What is complete--remaining - What remains--decision - Why you chose approach X--uncertain - What you're unsure aboutNext session will see all this context with td usage or td context <id>.
# 1. See reviewable issues
td reviewable
# 2. Check details
td show <id>
td context <id>
# 3. Approve or reject
# Independent review:
td approve <id> --reason "Reviewed diff, looks good"
# Or, in trusted mode, when you implemented it yourself:
# a sub-agent reviewed it — name them (no --reason needed):
td approve <id> --reviewed-by "code-reviewer sub-agent"
# you reviewed it yourself — say so:
td approve <id> --self-review --reason "Reviewed own diff, tests pass"
# Or:
td reject <id> --reason "Missing error handling"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.
# 1. Log the blocker
td log --blocker "Waiting on API spec from backend team"
# 2. Work on something else
td next # Get another issue
td ws tag td-e5f6 # Add to work session
# 3. Come back to blocked issue later
td context td-a1b2 # Refresh context when blocker resolvestd 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 worktd 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 resumingtd handoff <id> --done "..." --remaining "..." - Single issuetd ws handoff - Multi-issue work sessiontd 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 "..." - Rejecttd 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> - Deletetd link <id> <files...> - Track files with issuetd files <id> - Show file changestd monitor - Live dashboardtd session --new "name" - Force new sessiontd undo - Undo last actionSee quick_reference.md for full command listing.
Complete command reference organized by task type.
Detailed workflows for common AI agent scenarios:
open → in_progress → in_review → closed
| |
v | (reject)
blocked -----------+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.
At the start of a new agent context:
td usage --new-session -qThis auto-rotates sessions and gives you compact current state. Use judgment about how much tracking detail each task needs:
td ws start for work sessionstd handoff or td ws handoff--decision--uncertaintd link so future sessions know what changedSee ai_agent_workflows.md for detailed examples.
© marcus, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in td-task-management of marcus/td.
Open the folder on GitHubat commit b206bbf
Td Task Management next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Td Task Management this skillmarcus/td | 251 | — | ~2k | Automated safety check: Pass | MIT | |
| Memory Tasksbasicmachines-co/basic-memory | 4.1k | 1 repos | ~1.4k | Automated safety check: Pass | AGPL-3.0 | |
| Superset Agent Standupsuperset-sh/superset | 15k | — | ~712 | Automated safety check: Pass | Custom licence | |
| AgentRQ Workspace Agentagentrq/agentrq | 1.1k | — | ~1.9k | Automated safety check: Pass | AGPL-3.0 | |
| Pi Messenger Crewnicobailon/pi-messenger | 720 | — | ~3.7k | Automated safety check: Pass | None | |
| AgentRQ Supervisoragentrq/agentrq | 1.1k | — | ~2.7k | Automated safety check: Pass | AGPL-3.0 |
basicmachines-co/basic-memory
Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction.
superset-sh/superset
Sweeps every Superset workspace, task and agent terminal to report what finished, what needs review and what is blocked, read-only, and can publish the digest as a page.
agentrq/agentrq
Guides a workspace agent through executing assigned tasks, replying to a remote human operator, and creating sub-tasks, memory and events inside an AgentRQ workspace.
nicobailon/pi-messenger
Orchestrator reference for pi-messenger Crew planning, task management, configuration, and agent coordination.
agentrq/agentrq
Orchestrates work across specialized AgentRQ workspaces, breaking goals into tasks, assigning them to the right workspace agent, and tracking shared learning notes.
Szotasz/marveen
AI fleet project execution (orchestrator=PM, marketing agent, backend dev agent, video agent).
marcus/td
Write integration tests for the td-sync admin API using the TestHarness in internal/api/testharnesstest.go.
Categories
Task management for AI agents across context windows. An agent skill from marcus/td. Td Task Management is an agent skill from marcus/td. Task management for AI agents across context windows.
Td Task Management fits situations like: agents need to track work; maintain context across sessions.
Run `npx skills add marcus/td --skill td-task-management -a claude-code`. Or copy the skill folder (td-task-management in marcus/td) into .claude/skills/td-task-management in your project. Claude Code loads it when a task matches its description.
Run `npx skills add marcus/td --skill td-task-management -a codex`. Or copy the skill folder (td-task-management in marcus/td) into .agents/skills/td-task-management in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add marcus/td --skill td-task-management -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/td-task-management, .gemini/skills/td-task-management, .github/skills/td-task-management and .opencode/skills/td-task-management in your project.
SKILL.md names no scripts, command-line tools or credentials: Td Task Management is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Td Task Management is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Td Task Management: Memory Tasks (basicmachines-co/basic-memory, 4.1k stars), Superset Agent Standup (superset-sh/superset, 15k stars), AgentRQ Workspace Agent (agentrq/agentrq, 1.1k stars) and Pi Messenger Crew (nicobailon/pi-messenger, 720 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
marcus (a GitHub user) maintains it in marcus/td, which has 251 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on September 30, 2026.
Source: marcus/td on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.