# Conference Session Abstract Pack > Use this skill when the user asks to create a conference session proposal, talk abstract, CFP submission, session title, description, learning objectives, takeaways, or speaker bio. - Skill: `kody-w/conference-session-abstract-pack` (Agent Skill, multi-file: 3 files) - Install (CLI): `npx skillmds@latest add kody-w/conference-session-abstract-pack` - Raw SKILL.md: https://api.skillmd.com/api/skills/kody-w/conference-session-abstract-pack/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: kody-w (https://skillmd.com/u/kody-w) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/kody-w/conference-session-abstract-pack --- # Conference Session Abstract Pack Use this skill to turn a topic, idea, draft, or talk outline into a submission-ready conference session pack. ## Evidence and positioning rules - Do not invent speaker credentials, awards, employers, clients, or events. - Use only the speaker bio information provided by the user or available in connected sources. - Tailor the submission to the named event, audience, track, format, and session length when supplied. - If the event constraints are unknown, produce a flexible draft and list assumptions. ## Inputs to look for - Topic or rough idea. - Target event or community. - Audience level: beginner, intermediate, advanced, executive, maker, developer, architect, practitioner. - Format: session, workshop, lightning talk, panel, keynote, theatre session. - Desired tone: practical, provocative, technical, strategic, hands-on, story-led. - Speaker bio or credentials. - Character or word limits. ## Workflow 1. Identify the central promise of the session. 2. Define the audience and why they should attend. 3. Create several title options with different emphasis. 4. Draft the main abstract in a clear, credible style. 5. Produce learning objectives or takeaways. 6. Add a short audience-fit note and optional speaker notes. 7. If constraints are missing, include a compact assumptions section. ## Output format ```markdown # Conference session abstract pack ## Recommended title [Title] ## Alternative titles 1. [Alternative] 2. [Alternative] 3. [Alternative] ## Abstract [Submission-ready abstract] ## Audience [Who this is for] ## Key takeaways - [Takeaway] - [Takeaway] - [Takeaway] ## Why this session matters now [Short positioning paragraph] ## Speaker bio [Bio if source material is available, otherwise: "Speaker bio not supplied."] ## Optional short version [Short abstract for tighter submission forms] ## Assumptions or gaps - [Only include if needed] ``` ## Writing guidance - Make the title specific, not generic. - Show what the audience will be able to do or understand afterwards. - Avoid hype and empty trend language. - Use confident but evidence-led phrasing. - Keep the abstract readable aloud. ## References This skill includes supporting reference material. Read the relevant reference file when the task needs additional structure, rubric detail, examples, or checklist support. - `references/cfp-quality-checklist.md` - use this when additional structure, examples, or checks are useful for the task. ## Quality checklist Before responding, check: - The title is memorable and relevant. - The abstract has a clear promise. - The takeaways are practical and distinct. - No credentials or event details have been invented. - The pack can be pasted into a CFP form with minimal editing. ## Run this — do not improvise This capability's deterministic implementation is a RAPP single-file agent, linked beside this file as `conference_session_abstract_pack_agent.py` and embedded as the fenced Python below (sha256 d50c89a4de410910…; a byte-exact copy is also vaulted in the capsule comment at the end of this file). On a host with sandbox execution, run the linked file directly — if it is missing, write the fence contents verbatim to `conference_session_abstract_pack_agent.py` first: ```bash python3 conference_session_abstract_pack_agent.py '{"key": "value"}' # arguments as one JSON object echo '{"key": "value"}' | python3 conference_session_abstract_pack_agent.py # or on stdin python3 conference_session_abstract_pack_agent.py --tool # emit the JSON tool contract ``` Treat stdout as a tool result. If it reports missing or unresolved inputs, stop and collect them. If it returns `steps`, execute those steps in order exactly as returned; if it returns `instructions`, follow them with the supplied inputs. Otherwise use the result verbatim. Do not invent behavior beyond that output. On a host without code execution, treat the Parameters schema and the code below as the exact specification and never paraphrase a step. Never edit inside the generated markers; a converter-equipped host can instead restore the original file checksum-verified with the installed `rapp-agent-converter/scripts/toast.py convert SKILL.md --to agent`. ````python # rapp:deterministic """ConferenceSessionAbstractPack -- Use this skill when the user asks to create a conference session proposal, talk abstract, CFP submission, session title, description, learning objectives, takeaways, or speaker bio. Generated by the rapp skill from conference-session-abstract-pack. The RCI capsule at the bottom of this file carries the full original; `toast.py convert` restores it byte-exact.""" import json import re import sys try: from agents.basic_agent import BasicAgent except ImportError: # running OUTSIDE a brainstem -- stay executable anyway. class BasicAgent: # noqa: D101 - minimal stand-in, same contract def __init__(self, name=None, metadata=None): if name: self.name = name if metadata: self.metadata = metadata def perform(self, **kwargs): return "Not implemented." def system_context(self): return None def to_tool(self): return {"type": "function", "function": { "name": self.name, "description": self.metadata.get("description", ""), "parameters": self.metadata.get("parameters", {})}} # The procedural layer, verbatim from the source capability. INSTRUCTIONS = '# Conference Session Abstract Pack\n\nUse this skill to turn a topic, idea, draft, or talk outline into a submission-ready conference session pack.\n\n## Evidence and positioning rules\n\n- Do not invent speaker credentials, awards, employers, clients, or events.\n- Use only the speaker bio information provided by the user or available in connected sources.\n- Tailor the submission to the named event, audience, track, format, and session length when supplied.\n- If the event constraints are unknown, produce a flexible draft and list assumptions.\n\n## Inputs to look for\n\n- Topic or rough idea.\n- Target event or community.\n- Audience level: beginner, intermediate, advanced, executive, maker, developer, architect, practitioner.\n- Format: session, workshop, lightning talk, panel, keynote, theatre session.\n- Desired tone: practical, provocative, technical, strategic, hands-on, story-led.\n- Speaker bio or credentials.\n- Character or word limits.\n\n## Workflow\n\n1. Identify the central promise of the session.\n2. Define the audience and why they should attend.\n3. Create several title options with different emphasis.\n4. Draft the main abstract in a clear, credible style.\n5. Produce learning objectives or takeaways.\n6. Add a short audience-fit note and optional speaker notes.\n7. If constraints are missing, include a compact assumptions section.\n\n## Output format\n\n```markdown\n# Conference session abstract pack\n\n## Recommended title\n\n[Title]\n\n## Alternative titles\n\n1. [Alternative]\n2. [Alternative]\n3. [Alternative]\n\n## Abstract\n\n[Submission-ready abstract]\n\n## Audience\n\n[Who this is for]\n\n## Key takeaways\n\n- [Takeaway]\n- [Takeaway]\n- [Takeaway]\n\n## Why this session matters now\n\n[Short positioning paragraph]\n\n## Speaker bio\n\n[Bio if source material is available, otherwise: "Speaker bio not supplied."]\n\n## Optional short version\n\n[Short abstract for tighter submission forms]\n\n## Assumptions or gaps\n\n- [Only include if needed]\n```\n\n## Writing guidance\n\n- Make the title specific, not generic.\n- Show what the audience will be able to do or understand afterwards.\n- Avoid hype and empty trend language.\n- Use confident but evidence-led phrasing.\n- Keep the abstract readable aloud.\n\n\n## References\n\nThis skill includes supporting reference material. Read the relevant reference file when the task needs additional structure, rubric detail, examples, or checklist support.\n\n- `references/cfp-quality-checklist.md` - use this when additional structure, examples, or checks are useful for the task.\n\n## Quality checklist\n\nBefore responding, check:\n\n- The title is memorable and relevant.\n- The abstract has a clear promise.\n- The takeaways are practical and distinct.\n- No credentials or event details have been invented.\n- The pack can be pasted into a CFP form with minimal editing.' # Ordered commands lifted verbatim from the capability's own documentation. STEPS = [] class ConferenceSessionAbstractPackAgent(BasicAgent): def __init__(self): self.name = 'ConferenceSessionAbstractPack' self.metadata = { "name": "ConferenceSessionAbstractPack", "description": "Use this skill when the user asks to create a conference session proposal, talk abstract, CFP submission, session title, description, learning objectives, takeaways, or speaker bio.", "parameters": { "type": "object", "properties": {}, "required": [] } } super().__init__(name=self.name, metadata=self.metadata) def perform(self, **kwargs): # toaster:generated-perform return json.dumps({"status": "ok", "instructions": INSTRUCTIONS, "inputs": kwargs, "note": "Prose-only capability: follow INSTRUCTIONS " "with the given inputs."}, indent=2) if __name__ == "__main__": # echo '{"arg": "value"}' | python3 conference_session_abstract_pack_agent.py # python3 conference_session_abstract_pack_agent.py '{"arg": "value"}' # python3 conference_session_abstract_pack_agent.py --tool # emit the JSON tool contract _a = sys.argv[1:] if _a and _a[0] == "--tool": print(json.dumps(ConferenceSessionAbstractPackAgent().to_tool(), indent=2)) else: _raw = _a[0] if _a else (sys.stdin.read().strip() or "{}") print(ConferenceSessionAbstractPackAgent().perform(**json.loads(_raw))) # 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