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Agent skill
Agent Taskboard Manifest
by jinzhezenggroup in jinzhezenggroup/computational-chemistry-agent-skills
It is a specification for semantic workflows used by agents to plan, generate, formalize, summarize, and execute complex tasks, projects, experiments,and research efforts for agents, requiring…
Install Agent Taskboard Manifest
$ npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill agent-taskboard-manifest -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills agent-taskboard-manifest --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/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent-workflow/agent-taskboard-manifest .claude/skills/agent-taskboard-manifest && 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 "agent-taskboard-manifest" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/agent-workflow/agent-taskboard-manifest into .claude/skills/agent-taskboard-manifest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-taskboard-manifest", 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/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/agent-workflow/agent-taskboard-manifestType 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 jinzhezenggroup/computational-chemistry-agent-skills --skill agent-taskboard-manifest -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills agent-taskboard-manifest --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent-workflow/agent-taskboard-manifest .agents/skills/agent-taskboard-manifest && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-taskboard-manifest" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/agent-workflow/agent-taskboard-manifest into .agents/skills/agent-taskboard-manifest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-taskboard-manifest", 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 jinzhezenggroup/computational-chemistry-agent-skills --skill agent-taskboard-manifest -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills agent-taskboard-manifest --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent-workflow/agent-taskboard-manifest .cursor/skills/agent-taskboard-manifest && 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 "agent-taskboard-manifest" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/agent-workflow/agent-taskboard-manifest into .cursor/skills/agent-taskboard-manifest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-taskboard-manifest", 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/jinzhezenggroup/computational-chemistry-agent-skills.git --path agent-workflow/agent-taskboard-manifest--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 jinzhezenggroup/computational-chemistry-agent-skills --skill agent-taskboard-manifest -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills agent-taskboard-manifest --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent-workflow/agent-taskboard-manifest .gemini/skills/agent-taskboard-manifest && 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 "agent-taskboard-manifest" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/agent-workflow/agent-taskboard-manifest into .gemini/skills/agent-taskboard-manifest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-taskboard-manifest", 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 jinzhezenggroup/computational-chemistry-agent-skills agent-taskboard-manifestInstalls 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 jinzhezenggroup/computational-chemistry-agent-skills --skill agent-taskboard-manifest -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent-workflow/agent-taskboard-manifest .github/skills/agent-taskboard-manifest && 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 "agent-taskboard-manifest" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/agent-workflow/agent-taskboard-manifest into .github/skills/agent-taskboard-manifest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-taskboard-manifest", 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 jinzhezenggroup/computational-chemistry-agent-skills --skill agent-taskboard-manifest -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills agent-taskboard-manifest --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent-workflow/agent-taskboard-manifest .opencode/skills/agent-taskboard-manifest && 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 "agent-taskboard-manifest" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/agent-workflow/agent-taskboard-manifest into .opencode/skills/agent-taskboard-manifest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-taskboard-manifest", 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
agent-taskboard-manifest- GitHub stars
- 148
- Token cost
- ~1.1k tokens
- SKILL.md length
- 430 words
- Files
- 5
- Skills in repo
- 62
- Repo updated
- First seen
- Licence
- LGPL-3.0-or-later
At a glance
It is a specification for semantic workflows used by agents to plan, generate, formalize, summarize, and execute complex tasks, projects, experiments,and research efforts for agents, requiring…
- Works in 4 steps: Mandatory Reading:… → Mandatory Reading:… → Initial Alignment & Baseline: Engage… → …
- The user asks for a complex task
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- The user asks to summarize ongoing
What it does
Agent Taskboard Manifest is an agent skill from jinzhezenggroup/computational-chemistry-agent-skills. It is a specification for semantic workflows used by agents to plan, generate, formalize, summarize, and execute complex tasks, projects, experiments,and research efforts for agents, requiring explicit structure, lazy loading,scoped context, evidence-grounded routing, and human review at critical checkpoints. USE WHEN the user asks for a complex task, project, experiment, or research effort that needs to be carefully planned before execution USE WHEN the user provides a text-based plan and wants it to be made…
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `reference/design_guidelines.md`, `reference/execution_guidelines.md` and `reference/plan_communication_guidelines.md`).
It sits in DevOps & Cloud, covering CI/CD and Web performance. The repository describes itself as: Agent skills to run computational-chemistry tasks, used in OpenClaw. The licence is LGPL-3.0-or-later.
When your agent uses it
- The user asks for a complex task
- The user asks to summarize ongoing
- Completed work into a reusable workflow manifest
- The user specifies the location of an existing agent workflow and wants it loaded and executed according to the specification
Example prompts
- “/agent-taskboard-manifest”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Mandatory Reading: ./reference/plan_communication_guidelines.md.
- Mandatory Reading: ./reference/design_guidelines.md.
- Initial Alignment & Baseline: Engage with the user to outline the strictly macro-level structure. Produce the minimum baseline…
- Iterative Refinement: Progressively expand the workflow details and deep-level tasks through continuous user consultation. You must…
What it can do on your machine
Read from SKILL.md and the folder at commit 5c19e75. 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
Agent Taskboard Manifest loads about 1.1k tokens when it runs. Until then it costs about 209 tokens; SKILL.md has 430 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 jinzhezenggroup/computational-chemistry-agent-skills at commit 5c19e75, republished under its LGPL-3.0-or-later licence (© jinzhezenggroup). 430 words, ~1,145 tokens.
Download SKILL.mdSave it as
.claude/skills/agent-taskboard-manifest/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- agent-taskboard-manifest
- description
- It is a specification for semantic workflows used by agents to plan, generate, formalize, summarize, and execute complex tasks, projects, experiments,and research efforts for agents, requiring explicit structure, lazy loading,scoped context, evidence-grounded routing, and human review at critical checkpoints. USE WHEN the user asks for a complex task, project, experiment, or research effort that needs to be carefully planned before execution USE WHEN the user provides a text-based plan and wants it to be made more detailed and formalized according to this specification. USE WHEN the user asks to summarize ongoing or completed work into a reusable workflow manifest. USE WHEN the user specifies the location of an existing agent workflow and wants it loaded and executed according to the specification.
- license
- LGPL-3.0-or-later
- metadata.author
- light-cyan
- metadata.version
- 0.1.0
- metadata.repository
- https://github.com/light-cyan/AgentTaskboardManifest
Agent Workflow Specification (AgentTaskboardManifest)
Execution Procedure
It is mandatory for the Agent to read ./reference/syntax_and_semantics.md as the definitive source of truth prior to evaluating task routes, interpreting user intent, or generating any workflow artifacts.
After establishing this foundation, the Agent must determine the applicable execution route and strictly execute the corresponding standard operating procedures:
Route 1: Planning / Generation
Applies when building a new workflow from scratch collaboratively.
- Core Planning Constraints:
- No Execution Allowed: The planning phase is strictly for structural modeling. Executing operations, running commands, or validating the environment is strictly prohibited (these actions belong exclusively to the execution phase).
- Skill Priority: When formulating strategies, always prioritize solutions supported by existing Agent Skills over custom script generation or manual tool creation.
- Mandatory Reading:
./reference/plan_communication_guidelines.md. - Mandatory Reading:
./reference/design_guidelines.md. - Initial Alignment & Baseline: Engage with the user to outline the strictly macro-level structure. Produce the minimum baseline deliverables (
-workflow.yamland!entry.task.yaml). Do not delve into any execution details, concrete parameters, or deep sub-tasks at this stage. Report the preliminary architecture to the user and wait for the user's confirmation. - Iterative Refinement: Progressively expand the workflow details and deep-level tasks through continuous user consultation. You must discuss and design only ONE specific sub-task at a time. Unfolding or generating the entire detailed workflow tree simultaneously is strictly prohibited. Strictly adhere to syntax and design constraints. Arbitrary fabrication of steps or dependencies is strictly prohibited.
Show full SKILL.md (196 more words)Show less
Route 2: Formalization / Summarization
Applies when converting a text plan into a manifest, or abstracting completed work into a reusable workflow.
- Mandatory Reading:
./reference/design_guidelines.md. - Context Processing & Abstraction:
- For text-based plans: Logically expand the provided details. Proactively query the user regarding any ambiguous logic, missing constraints, or edge cases. Use
unknownfor unverified parameters. - For summarizing executed work: Extract and abstract hardcoded values into reusable variables. Separate run-specific instances from universal logic to ensure the resulting workflow is highly extensible, not a one-off script.
- For text-based plans: Logically expand the provided details. Proactively query the user regarding any ambiguous logic, missing constraints, or edge cases. Use
- Finalization: Output the complete workflow strictly adhering to the syntax constraints. Generating unsupported operations or assuming user intent without confirmation is strictly prohibited.
Route 3: Loading & Execution
Applies when directed to execute an existing workflow.
- Pre-flight Check: Verify that the target workflow directory exists and is accessible. Read the
-workflow.yamlto confirm its applicability and prerequisites against the current environment. - Mandatory Reading:
./reference/execution_guidelines.md. - Strict Execution: Dynamically load tasks step-by-step, strictly starting from
!entry.task.yaml. The Agent must rigidly follow the defined sequence, evaluate routing conditions based entirely on runtime evidence, and respect all defined human-in-the-loop breakpoints. Deviating from or hallucinating beyond the defined workflow path is strictly prohibited.
© jinzhezenggroup, LGPL-3.0-or-later. 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 4 other files in agent-workflow/agent-taskboard-manifest of jinzhezenggroup/computational-chemistry-agent-skills.
- SKILL.md
- reference/design_guidelines.md
- reference/execution_guidelines.md
- reference/plan_communication_guidelines.md
- reference/syntax_and_semantics.md
Open the folder on GitHubat commit 5c19e75
Compare with similar skills
Agent Taskboard Manifest 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 |
|---|---|---|---|---|---|---|
| Agent Taskboard Manifest this skilljinzhezenggroup/computational-chemistry-agent-skills | 148 | — | ~1.1k | Automated safety check: Pass | LGPL-3.0-or-later | |
| Modern Web GuidanceJetBrains/skills | 366 | 3 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Optimize Auditvercel-labs/agent-skills | 32k | 8 repos | ~4.3k | Automated safety check: Pass | None | |
| Winui AppLanceMcCarthy/DevOpsExamples | 172 | 1 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Local CImodule-federation/core | 2.7k | — | ~914 | Automated safety check: Pass | MIT | |
| Add React Analyticsgotempsh/temps | 833 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Agent Taskboard Manifest
What does Agent Taskboard Manifest do?
It is a specification for semantic workflows used by agents to plan, generate, formalize, summarize, and execute complex tasks, projects, experiments,and research efforts for agents, requiring…. Agent Taskboard Manifest is an agent skill from jinzhezenggroup/computational-chemistry-agent-skills. It is a specification for semantic workflows used by agents to plan, generate, formalize, summarize, and execute complex tasks, projects, experiments,and research efforts for agents, requiring explicit structure, lazy loading,scoped context, evidence-grounded routing, and human review at critical checkpoints.
When should I use Agent Taskboard Manifest?
Agent Taskboard Manifest fits situations like: the user asks for a complex task; the user asks to summarize ongoing; completed work into a reusable workflow manifest; the user specifies the location of an existing agent workflow and wants it loaded and executed according to the specification.
How do I install Agent Taskboard Manifest in Claude Code?
Run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill agent-taskboard-manifest -a claude-code`. Or copy the skill folder (agent-workflow/agent-taskboard-manifest in jinzhezenggroup/computational-chemistry-agent-skills) into .claude/skills/agent-taskboard-manifest in your project. Claude Code loads it when a task matches its description.
How do I install Agent Taskboard Manifest in Codex?
Run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill agent-taskboard-manifest -a codex`. Or copy the skill folder (agent-workflow/agent-taskboard-manifest in jinzhezenggroup/computational-chemistry-agent-skills) into .agents/skills/agent-taskboard-manifest in your project. Codex loads it when a task matches its description.
Can I use Agent Taskboard Manifest 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 jinzhezenggroup/computational-chemistry-agent-skills --skill agent-taskboard-manifest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-taskboard-manifest, .gemini/skills/agent-taskboard-manifest, .github/skills/agent-taskboard-manifest and .opencode/skills/agent-taskboard-manifest in your project.
What does Agent Taskboard Manifest need to run?
SKILL.md names no scripts, command-line tools or credentials: Agent Taskboard Manifest is instructions for the agent only.
Does Agent Taskboard Manifest 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 Agent Taskboard Manifest 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 Agent Taskboard Manifest use?
Agent Taskboard Manifest is published under the LGPL-3.0-or-later licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agent Taskboard Manifest use?
About 1.1k tokens (SKILL.md is roughly 4.6k 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 Agent Taskboard Manifest?
Skills that share tags, products or a category with Agent Taskboard Manifest: Modern Web Guidance (JetBrains/skills, 366 stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars), Winui App (LanceMcCarthy/DevOpsExamples, 172 stars) and Local CI (module-federation/core, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agent Taskboard Manifest?
jinzhezenggroup (a GitHub organization) maintains it in jinzhezenggroup/computational-chemistry-agent-skills, which has 148 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on October 9, 2026.
Source: jinzhezenggroup/computational-chemistry-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.