Windows Automation
vellum-ai/vellum-assistant
Automate native Windows apps and system interactions with PowerShell, documented COM APIs, and Microsoft UI Automation through the Windows host executor.
Manage work in the native DeepSeek Harness Taskboard with exact task ids and optimistic versions.
Install Manage Taskboard
$ npx skills add shengsheng90/DSH-taskboard --skill manage-taskboard -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install shengsheng90/DSH-taskboard manage-taskboard --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/shengsheng90/DSH-taskboard.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/manage-taskboard .claude/skills/manage-taskboard && 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 "manage-taskboard" agent skill from https://github.com/shengsheng90/DSH-taskboard/tree/main/skills/manage-taskboard into .claude/skills/manage-taskboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manage-taskboard", 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/shengsheng90/DSH-taskboard/tree/main/skills/manage-taskboardType 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 shengsheng90/DSH-taskboard --skill manage-taskboard -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install shengsheng90/DSH-taskboard manage-taskboard --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shengsheng90/DSH-taskboard.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/manage-taskboard .agents/skills/manage-taskboard && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "manage-taskboard" agent skill from https://github.com/shengsheng90/DSH-taskboard/tree/main/skills/manage-taskboard into .agents/skills/manage-taskboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manage-taskboard", 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 shengsheng90/DSH-taskboard --skill manage-taskboard -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install shengsheng90/DSH-taskboard manage-taskboard --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shengsheng90/DSH-taskboard.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/manage-taskboard .cursor/skills/manage-taskboard && 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 "manage-taskboard" agent skill from https://github.com/shengsheng90/DSH-taskboard/tree/main/skills/manage-taskboard into .cursor/skills/manage-taskboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manage-taskboard", 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/shengsheng90/DSH-taskboard.git --path skills/manage-taskboard--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 shengsheng90/DSH-taskboard --skill manage-taskboard -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install shengsheng90/DSH-taskboard manage-taskboard --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shengsheng90/DSH-taskboard.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/manage-taskboard .gemini/skills/manage-taskboard && 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 "manage-taskboard" agent skill from https://github.com/shengsheng90/DSH-taskboard/tree/main/skills/manage-taskboard into .gemini/skills/manage-taskboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manage-taskboard", 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 shengsheng90/DSH-taskboard manage-taskboardInstalls 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 shengsheng90/DSH-taskboard --skill manage-taskboard -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/shengsheng90/DSH-taskboard.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/manage-taskboard .github/skills/manage-taskboard && 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 "manage-taskboard" agent skill from https://github.com/shengsheng90/DSH-taskboard/tree/main/skills/manage-taskboard into .github/skills/manage-taskboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manage-taskboard", 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 shengsheng90/DSH-taskboard --skill manage-taskboard -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install shengsheng90/DSH-taskboard manage-taskboard --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shengsheng90/DSH-taskboard.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/manage-taskboard .opencode/skills/manage-taskboard && 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 "manage-taskboard" agent skill from https://github.com/shengsheng90/DSH-taskboard/tree/main/skills/manage-taskboard into .opencode/skills/manage-taskboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manage-taskboard", 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.
Facts
- Skill name
manage-taskboard- GitHub stars
- 332
- Token cost
- ~885 tokens
- SKILL.md length
- 443 words
- Files
- 2
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Manage work in the native DeepSeek Harness Taskboard with exact task ids and optimistic versions.
- Works in 7 steps: Call taskboard_list with the exact… → Call taskboard_get immediately before… → Call taskboard_claim with that id and… → …
- An Agent must inspect project work
- SKILL.md covers Execute one task, Handle exceptional outcomes and Guide human review
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Manage Taskboard is an agent skill from shengsheng90/DSH-taskboard. Manage work in the native DeepSeek Harness Taskboard with exact task ids and optimistic versions. Use when an Agent must inspect project work, claim an eligible todo, record progress or blockers, verify an implementation, submit it for human review, or release its own claim; also use when a human asks how to accept, return, archive, or automate Taskboard work through the native UI or dsh-taskboard JSON CLI.
Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Productivity & Automation, covering Mobile UI design and Task management. It works with DeepSeek. The repository describes itself as: Native local Taskboard plugin for DeepSeek Harness. SQLite-backed projects, Agent claim/review, and a native Web UI — no iframe, no second chat runtime. The licence is Apache-2.0.
When your agent uses it
- An Agent must inspect project work
- Claim an eligible todo
- Record progress
- Verify an implementation
Example prompts
- “/manage-taskboard”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Call taskboard_list with the exact project id. Prefer an eligible todo; do not select backlog, archived, dependency-blocked, or already…
- Call taskboard_get immediately before claiming. Preserve the opaque task id and current version exactly; never derive an id from a display…
- Call taskboard_claim with that id and version. Treat a stale-version or claim conflict as a signal to reread and reconsider, not to retry…
- Read the full description, comments, relations, dependency state, development context, and attachment references before changing files…
- Complete the work and run relevant verification. If requirements change, call taskboard_get again before continuing.
- Record the final result with taskboard_comment or taskboard_submit_review, always using the version returned by the latest read or write…
- Call taskboard_submit_review with a concise result comment and concrete verification evidence. This moves owned work to in_review; it…
What it can do on your machine
Read from SKILL.md and the folder at commit f92b8ed. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Manage Taskboard loads about 885 tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 443 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from shengsheng90/DSH-taskboard at commit f92b8ed, republished under its Apache-2.0 licence (© shengsheng90). 443 words, ~885 tokens.
Download SKILL.mdSave it as
.claude/skills/manage-taskboard/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- manage-taskboard
- description
- Manage work in the native DeepSeek Harness Taskboard with exact task ids and optimistic versions. Use when an Agent must inspect project work, claim an eligible todo, record progress or blockers, verify an implementation, submit it for human review, or release its own claim; also use when a human asks how to accept, return, archive, or automate Taskboard work through the native UI or dsh-taskboard JSON CLI.
Manage Taskboard
Use the in-process taskboard_* tools for Agent work. Use dsh-taskboard only for human-operated scripts and interoperability; do not make the model shell out when a native tool exists.
Execute one task
- Call
taskboard_listwith the exact project id. Prefer an eligibletodo; do not selectbacklog, archived, dependency-blocked, or already claimed work. - Call
taskboard_getimmediately before claiming. Preserve the opaque task id and currentversionexactly; never derive an id from a display key such asDSH-42. - Call
taskboard_claimwith that id and version. Treat a stale-version or claim conflict as a signal to reread and reconsider, not to retry blindly. - Read the full description, comments, relations, dependency state, development context, and attachment references before changing files. Work only in the task's declared workspace, branch, or worktree.
- Complete the work and run relevant verification. If requirements change, call
taskboard_getagain before continuing. - Record the final result with
taskboard_commentortaskboard_submit_review, always using the version returned by the latest read or write. Never modify the task description. - Call
taskboard_submit_reviewwith a concise result comment and concrete verification evidence. This moves owned work toin_review; it never marks workdone.
Keep every write version-linear: after any successful comment, relation, block, or other mutation, use its returned version for the next write. If another actor wins the race, reread the task and reconcile instead of overwriting their change.
Show full SKILL.md (209 more words)Show less
Handle exceptional outcomes
- Call
taskboard_blockonly on the in-progress task you hold the claim for, and only with a concrete reason when work cannot proceed. Include the missing dependency, decision, permission, or external condition. Atodoyou have not claimed is not yours to block: report the obstacle in a comment and leave the column to a human. - Call
taskboard_release_claimwhen intentionally abandoning owned work. Explain what remains and leave useful progress in a comment first when possible. - Use
taskboard_relateonly after reading both tasks. Keep relations within one project and do not create parent cycles. - Never call or emulate acceptance. Only a human may accept
in_reviewasdone, return it for rework, approve backlog work, archive it, or permanently delete it.
Guide human review
Ask the human to open the native Taskboard task detail, inspect the result comment and verification evidence, then choose Accept or Return for rework. For headless human automation, use dsh-taskboard task accept --task <opaque-id> --version <exact-version> or task return ... --comment .... Every successful CLI response is versioned JSON; exit codes distinguish usage, unavailable service, API errors, and optimistic conflicts.
Do not bypass service policy with direct SQLite access, browser-side file access, generic status mutation, or prompt-only assumptions. The SQLite Provider and Host service are authoritative.
© shengsheng90, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/manage-taskboard of shengsheng90/DSH-taskboard.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit f92b8ed
Compare with similar skills
Manage Taskboard 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 |
|---|---|---|---|---|---|---|
| Manage Taskboard this skillshengsheng90/DSH-taskboard | 332 | — | ~885 | Automated safety check: Pass | Apache-2.0 | |
| Windows Automationvellum-ai/vellum-assistant | 1.4k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Cherrypick Logkomikku-app/komikku | 4.8k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Vision SkillsAnionex/agent-vision-toolkit | 1.2k | — | ~4k | Automated safety check: Pass | MIT | |
| 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 |
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Related
Works with
Categories
Questions about Manage Taskboard
What does Manage Taskboard do?
Manage work in the native DeepSeek Harness Taskboard with exact task ids and optimistic versions. Manage Taskboard is an agent skill from shengsheng90/DSH-taskboard. Manage work in the native DeepSeek Harness Taskboard with exact task ids and optimistic versions.
When should I use Manage Taskboard?
Manage Taskboard fits situations like: an Agent must inspect project work; claim an eligible todo; record progress; verify an implementation.
How do I install Manage Taskboard in Claude Code?
Run `npx skills add shengsheng90/DSH-taskboard --skill manage-taskboard -a claude-code`. Or copy the skill folder (skills/manage-taskboard in shengsheng90/DSH-taskboard) into .claude/skills/manage-taskboard in your project. Claude Code loads it when a task matches its description.
How do I install Manage Taskboard in Codex?
Run `npx skills add shengsheng90/DSH-taskboard --skill manage-taskboard -a codex`. Or copy the skill folder (skills/manage-taskboard in shengsheng90/DSH-taskboard) into .agents/skills/manage-taskboard in your project. Codex loads it when a task matches its description.
Can I use Manage Taskboard in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add shengsheng90/DSH-taskboard --skill manage-taskboard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/manage-taskboard, .gemini/skills/manage-taskboard, .github/skills/manage-taskboard and .opencode/skills/manage-taskboard in your project.
What does Manage Taskboard need to run?
SKILL.md names no scripts, command-line tools or credentials: Manage Taskboard is instructions for the agent only.
Does Manage Taskboard access the network?
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.
Is Manage Taskboard safe to install?
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.
What licence does Manage Taskboard use?
Manage Taskboard is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Manage Taskboard use?
About 885 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Manage Taskboard?
Skills that share tags, products or a category with Manage Taskboard: Windows Automation (vellum-ai/vellum-assistant, 1.4k stars), Cherrypick Log (komikku-app/komikku, 4.8k stars), Vision Skills (Anionex/agent-vision-toolkit, 1.2k stars) and Superset Agent Standup (superset-sh/superset, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Manage Taskboard?
shengsheng90 (a GitHub user) maintains it in shengsheng90/DSH-taskboard, which has 332 GitHub stars. The repository was last updated on October 8, 2026.
Source: shengsheng90/DSH-taskboard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.