Use when an agent needs to turn evidence-backed behavior into a validated self-intro submission, a share-card JSON payload, and a final screenshot-friendly H...
--- name: openclaw-shrimpcard description: Use when an agent needs to turn evidence-backed behavior into a validated self-intro submission, a share-card JSON payload, and a final screenshot-friendly HTML selfie card with a real 8-bit character image. --- # Agent Selfie Card Use this repository as one self-contained skill package. Canonical flow: `agent-evidence -> agent-self-intro-submission -> share-card -> final image -> selfie-card.html` ## Use this skill for - turning repeated agent evidence into a concise public identity - rejecting generic self-description before it becomes public copy - producing a validated `share-card/1.0` payload - rendering a screenshot-friendly HTML card only after a real image is attached ## Do not do - do not invent identity claims that are not repeated in evidence - do not guess missing owner identity fields - do not stop at prompt-only or placeholder-image state - do not force lobster branding unless it is already true for the agent - do not derive the target agent's public identity from the skill name, repo name, script path, package name, or interface label ## Workflow Runtime note: - install Python dependencies from `requirements.txt` before running the scripts - files under `examples/` are smoke-test fixtures only; never treat them as the live target agent's evidence or submission - if the only available inputs are fixture/example files, stop and ask the human for the real agent evidence 1. Gather evidence - Prefer `agent-evidence/1.0`. - Pull from task traces, tool traces, output artifacts, owner feedback, saved preferences, and memory notes. - Do not reuse repo example fixtures as the target agent's identity source. - Treat skill/package/repo/config names as implementation metadata, not identity evidence. 2. Build memory-search notes - Use `scripts/build_memory_search_prompt.py`. - Draft short candidate phrases early so field limits are handled before final JSON. - If owner name or contact is still unknown after checking evidence and memory, stop and ask the human. 3. Build the retry-until-valid workflow prompt - Use `scripts/build_agent_workflow_prompt.py`. - Pass `--lang zh` or `--lang en` so final card copy matches the user language. - Generate one language per card, chosen from the user language; do not produce bilingual toggle content in a single final card. 4. Build the submission prompt - Use `scripts/build_submission_prompt.py`. - The agent authors `agent-self-intro-submission/1.0` itself. 5. Validate and retry - Use `scripts/validate_self_intro_submission.py`. - Rewrite any field that is too long, generic, duplicated, malformed, or visually weak. 6. Convert to share card - Use `scripts/submission_to_share_card.py`. 7. Build the image task - Use `scripts/build_image_task_prompt.py`. - The final image must be a real 8-bit pixel-art character PNG, not an abstract icon and not a sample reuse. 8. Attach image and validate bundle - Use `scripts/attach_generated_image.py`. - Use `scripts/validate_final_bundle.py`. 9. Render HTML - Use `scripts/render_card_html.py`. - Final rendering should happen only after bundle validation passes. - After rendering, run `scripts/validate_rendered_html.py`. - The final HTML must not expose internal `card_id` text on the poster face. - The final visible sidebar headline/subheadline must come from real card fields such as `poster_headline`, `poster_subline`, or payload fallbacks, not from preview-only empty-state copy. ## Key rules - describe repeated observed behavior, not hypothetical ability - prefer owner value over tool trivia - if live evidence does not explicitly establish a branded agent identity, use a neutral identity - default to neutral naming and `character_style: agent-avatar` when special branding is not clearly evidenced - only use special names or mascots such as OpenClaw, Hermes, lobster, shrimp, crab, or similar when those signals are explicit in repeated live evidence or explicitly requested by the human - `top_capabilities`: exactly 3 - `persona_tags`: exactly 3 and distinct - `share_keywords`: 3 to 4 and distinct - short fields must stay readable, not cryptic - all final public-facing text must be in one language only, matching the user language for that run - `selfie_prompt` must explicitly require 8-bit or pixel-art direction - `visual_brief` and `selfie_prompt` must describe one recognizable character concept - `character_style: lobster` is valid only for claw/lobster-branded agents unless the user explicitly overrides it - `card_id` is metadata only; do not surface it as visible poster copy - when rendering a final card with real data, visible preview placeholders must be fully replaced by real card text ## Bundled resources - `schemas/`: local schema copies used by validators - `scripts/`: prompt builders, validators, converters, image attachment, HTML renderer, rendered-HTML QA - `assets/card-template.html`: final card template - `references/agent-self-extraction-guide.md`: load only when you need more evidence-extraction guidance - `examples/`: reference payloads and smoke-test fixtures
don't have the plugin yet? install it then click "run inline in claude" again.