Install
openclaw skills install present-workflowGuide an installing agent through a staged PPT or slide workflow without constraining its implementation choices. Use when the user wants a presentation, deck, storyboard, or slide-ready structure from a topic, article, report, or brief, and success depends on some combination of: clarifying the brief, gathering facts when needed, building an outline, creating page-level planning, generating reviewable intermediate artifacts, and degrading gracefully when the environment lacks research, rendering, or delivery capabilities.
openclaw skills install present-workflowTreat PPT creation as staged work, not one-shot generation. This skill should tell the agent what must happen and when, while leaving how to execute to the installing agent and its environment.
Do not prescribe specific search tools, browsers, MCPs, renderers, or export paths unless a particular environment explicitly requires one.
Constrain the workflow, not the implementation.
This skill should help the agent decide:
Before substantive work, determine at a high level whether the current environment can:
Only use these findings to decide what layer is achievable. Do not turn this section into a tool-selection policy.
Accept any of these entry modes.
Example: “帮我做一个 AI 安全体检中心的 PPT”
If inputs are incomplete, ask for the minimum missing fields:
Use when the user already provides audience, purpose, scenario, style, page count, and key messages.
Use when the user supplies URLs, reports, PDFs, notes, transcripts, or other primary material.
Treat supplied material as the main context. Add external fact-finding only when it will materially improve the result.
Use when the user already has a structure, early deck, or page ideas and wants improvement rather than full regeneration.
Stop at the layer the user needs.
research-brief
outline
planning-draft
sample-artifact
full-deck-plan
review-notes
Collect only the inputs necessary to avoid avoidable misfires:
Perform fact-finding before outlining if:
If fresh fact-finding is not necessary, proceed from the supplied context.
Use whatever capabilities the installing agent has to gather or organize supporting material.
If external fact-finding is not possible, be explicit that the result is source-limited and rely on user-provided material instead of inventing certainty.
If needed, read references/agent-integration.md and references/prompts.md before doing this step.
Before building the deck, summarize the working knowledge into a compact brief:
This brief can be short, but it should make later outlining more grounded.
Create the deck structure only after the brief and context are good enough.
Read references/prompts.md and use the “Outline Architect” prompt when appropriate.
Requirements:
For non-trivial decks, do not jump straight from outline to polished pages.
Create page-level planning cards that specify:
Read references/prompts.md and use the “Planning Draft / 策划稿” prompt when appropriate.
Before scaling up, produce something the user can react to.
The form is intentionally open. It might be:
Do not force one artifact type if the environment or task suggests another.
Use explicit review gates for:
Only after direction is accepted should the agent expand toward a fuller deck plan or richer artifacts.
Before delivery, check:
If any capability limitations affected the result, say so plainly.
Save the final approved deck plan (or whichever output layer was delivered) to ./output/<name>.md. Create the ./output/ directory if it doesn't exist. This markdown file serves as the input for the next skill in the pipeline (e.g. present-html).
When the task depends on facts, the agent should gather or verify supporting material before speaking with confidence.
If the environment cannot support the ideal workflow, the agent should state the limitation and continue at the highest-value reachable layer.
For complex or high-stakes tasks, the agent should present intermediate work before committing to a full draft.
The skill should never assume a specific research, rendering, preview, or export implementation path.
references/method.md — distilled method and the reasoning behind staged PPT workreferences/agent-integration.md — abstract coordination rules for agents with different capabilitiesreferences/prompts.md — reusable prompts for research, outlining, planning, review, and optional format-specific generation