talk-pipeline
Orchestrates the complete talk preparation pipeline from raw material to revision sheets, running 6 stages in sequence with human-in-the-loop checkpoints for REX or Concept mode talks. Use when starting a new talk pipeline, resuming a pipeline from a specific stage, or running the full end-to-end preparation workflow.
Best use case
talk-pipeline is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Orchestrates the complete talk preparation pipeline from raw material to revision sheets, running 6 stages in sequence with human-in-the-loop checkpoints for REX or Concept mode talks. Use when starting a new talk pipeline, resuming a pipeline from a specific stage, or running the full end-to-end preparation workflow.
Teams using talk-pipeline should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/orchestrator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How talk-pipeline Compares
| Feature / Agent | talk-pipeline | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Orchestrates the complete talk preparation pipeline from raw material to revision sheets, running 6 stages in sequence with human-in-the-loop checkpoints for REX or Concept mode talks. Use when starting a new talk pipeline, resuming a pipeline from a specific stage, or running the full end-to-end preparation workflow.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Talk Pipeline Orchestrator
Orchestrates the complete talk preparation pipeline — from raw material to revision sheets. Can run the full pipeline or a single isolated stage.
## Modes
- `--rex`: REX talk with git/code proof (changelog, commits, measured metrics)
- `--concept`: Conceptual talk from article, ideas, notes (skips Stage 2)
## Usage
```
/talk-pipeline # full pipeline, asks for context
/talk-pipeline --stage=extract # run a single isolated stage
/talk-pipeline --rex # REX mode (git archaeology included)
/talk-pipeline --concept # Concept mode (skip research)
/talk-pipeline --rex --slug=my-talk --event="Conf 2026" --date=2026-06-15 --duration=30
```
## Context Collection
Ask with AskUserQuestion if not provided:
```
- slug : kebab-case identifier (e.g., my-talk-topic)
- event : event name (e.g., Conf 2026, Tech Meetup)
- date : talk date (YYYY-MM-DD)
- duration : duration in minutes (e.g., 30)
- audience : audience profile (e.g., senior devs, tech leads, non-tech)
- type : --rex or --concept
- source_path : path to source material (article .mdx, transcript .md, notes)
- repo_path : (REX only) path to git repository for archaeology
```
## Workflow
1. **Collect context** — AskUserQuestion for required metadata
2. **Route by mode** — `--rex` vs `--concept` (skip Stage 2 if concept)
3. **Run Stage 1** — `/talk-stage1-extract` — always first
4. **Run Stages 2-4 in parallel** (after Stage 1 confirmed)
- REX: extract → research + concepts + position (in parallel)
- Concept: extract → concepts + position (in parallel, skip research)
5. **CHECKPOINT** — wait for angle + title choice (Stage 4 output)
6. **Run Stage 5** — `/talk-stage5-script` with validated choice
7. **Run Stage 6** — `/talk-stage6-revision`
8. **Final summary** — list all generated files with their paths
## Dependency Graph
```
extract (Stage 1)
|
┌──────────┼──────────┐
v v v
research concepts position
(Stage 2) (Stage 3) (Stage 4)
[--rex only] [CHECKPOINT]
| | |
└──────────┼──────────┘
v
script (Stage 5)
|
v
revision (Stage 6)
```
## Stage Routing (--stage=X)
If `--stage` is provided, run only the corresponding skill:
| Stage | Skill to invoke |
|-------|----------------|
| extract | /talk-stage1-extract |
| research | /talk-stage2-research |
| concepts | /talk-stage3-concepts |
| position | /talk-stage4-position |
| script | /talk-stage5-script |
| revision | /talk-stage6-revision |
## Output Naming Convention
```
talks/{YYYY}-{slug}-summary.md # extract
talks/{YYYY}-{slug}-git-archaeology.md # research
talks/{YYYY}-{slug}-changelog-analysis.md
talks/{YYYY}-{slug}-timeline.md
talks/{YYYY}-{slug}-concepts.md # concepts
talks/{YYYY}-{slug}-concepts-enriched.md
talks/{YYYY}-{slug}-angles.md # position
talks/{YYYY}-{slug}-titre.md
talks/{YYYY}-{slug}-descriptions.md
talks/{YYYY}-{slug}-feedback-draft.md
talks/{YYYY}-{slug}-pitch.md # script
talks/{YYYY}-{slug}-slides.md
talks/{YYYY}-{slug}-kimi-prompt.md
talks/{YYYY}-{slug}-revision-sheets.md # revision
```
## Final Summary Format
After Stage 6 completes, display:
```
Pipeline complete. Files generated:
Stage 1 — Extract:
✓ talks/{YYYY}-{slug}-summary.md
Stage 2 — Research (REX only):
✓ talks/{YYYY}-{slug}-git-archaeology.md
✓ talks/{YYYY}-{slug}-changelog-analysis.md
✓ talks/{YYYY}-{slug}-timeline.md
Stage 3 — Concepts:
✓ talks/{YYYY}-{slug}-concepts.md
✓ talks/{YYYY}-{slug}-concepts-enriched.md (if repo available)
Stage 4 — Position:
✓ talks/{YYYY}-{slug}-angles.md
✓ talks/{YYYY}-{slug}-titre.md
✓ talks/{YYYY}-{slug}-descriptions.md
✓ talks/{YYYY}-{slug}-feedback-draft.md
Stage 5 — Script:
✓ talks/{YYYY}-{slug}-pitch.md
✓ talks/{YYYY}-{slug}-slides.md
✓ talks/{YYYY}-{slug}-kimi-prompt.md ← copy-paste into kimi.com
Stage 6 — Revision:
✓ talks/{YYYY}-{slug}-revision-sheets.md
Next step: open kimi-prompt.md, verify no {PLACEHOLDER} remains, paste into kimi.com.
```
## Anti-patterns
- Do not run Stage 5 without an explicit angle + title choice from the user
- Do not run Stage 2 (research) in `--concept` mode
- Do not proceed to the next stage if an upstream stage failed
- Do not invent metrics or dates not present in the source material
## Validation
- [ ] All upstream files exist before launching a downstream stage
- [ ] Stage 4 CHECKPOINT respected before script
- [ ] Outputs named per convention `talks/{YYYY}-{slug}-{stage}.md`
- [ ] No empty placeholders in generated files
## Tips
- The orchestrator is the recommended entry point for first use
- For repeat users who know the pipeline, running individual stage skills is faster
- The `--stage=X` flag is useful for rerunning a single stage without redoing the full pipeline
## Related
- [Stage 1: Extract](../stage-1-extract/SKILL.md)
- [Stage 2: Research](../stage-2-research/SKILL.md)
- [Stage 3: Concepts](../stage-3-concepts/SKILL.md)
- [Stage 4: Position](../stage-4-position/SKILL.md)
- [Stage 5: Script](../stage-5-script/SKILL.md)
- [Stage 6: Revision](../stage-6-revision/SKILL.md)
- [Full workflow guide](../../../guide/workflows/talk-pipeline.md)Related Skills
talk-stage6-revision
Produces revision sheets with quick navigation by act, a master concept-to-URL table, Q&A cheat-sheet with 6-10 anticipated questions, glossary, and external resources list. Use when preparing for a talk with Q&A, creating shareable reference material for attendees, or building a safety-net glossary for live delivery.
talk-stage5-script
Produces a complete 5-act pitch with speaker notes, a slide-by-slide specification, and a ready-to-paste Kimi prompt for AI slide generation. Requires validated angle and title from Stage 4. Use when you have a confirmed talk angle and need the full script, slide spec, and AI-generated presentation prompt.
talk-stage4-position
Generates 3-4 strategic talk angles with strength/weakness analysis, title options, CFP descriptions, and a peer feedback draft, then enforces a mandatory CHECKPOINT for user confirmation before scripting. Use when deciding how to frame a talk, preparing a CFP submission, or choosing between multiple narrative angles.
talk-stage3-concepts
Builds a numbered, categorized concept catalogue from the talk summary and timeline, scoring each concept HIGH / MEDIUM / LOW for talk potential with optional repo enrichment. Use when you need a structured inventory of concepts before choosing a talk angle, or when assessing which ideas have the strongest presentation potential.
talk-stage2-research
Performs git archaeology, changelog analysis, and builds a verified factual timeline by cross-referencing git history with source material. REX mode only — skipped automatically in Concept mode. Use when building a REX talk and you need verified commit metrics, release timelines, and contributor data from a git repository.
talk-stage1-extract
Extracts and structures source material (articles, transcripts, notes) into a talk summary with narrative arc, themes, metrics, and gaps. Auto-detects REX vs Concept type. Use when starting a new talk from any source material or auditing existing material before committing to a talk.
voice-refine
Transform verbose voice input into structured, token-efficient Claude prompts. Use when cleaning up voice memos, dictation output, or speech-to-text transcriptions that contain filler words, repetitions, and unstructured thoughts.
skill-creator
Scaffold a new Claude Code skill with SKILL.md, frontmatter, and bundled resources. Use when creating a custom skill, standardizing skill structure across a team, or packaging a skill for distribution.
rtk-optimizer
Wrap high-verbosity shell commands with RTK to reduce token consumption. Use when running git log, git diff, cargo test, pytest, or other verbose CLI output that wastes context window tokens.
release-notes-generator
Generate release notes in 3 formats (CHANGELOG.md, PR body, Slack announcement) from git commits. Automatically categorizes changes and converts technical language to user-friendly messaging. Use for releases, changelogs, version notes, what's new summaries, or ship announcements.
pr-triage
4-phase PR backlog management with audit, deep code review, validated comments, and optional worktree setup. Use when triaging pull requests, catching up on pending code reviews, or managing a backlog of open PRs. Args: 'all' to review all, PR numbers to focus (e.g. '42 57'), 'en'/'fr' for language, no arg = audit only.
landing-page-generator
Generate complete, deploy-ready landing pages from any repository. Use when creating a homepage for an open-source project, building a project website, converting a README into a marketing page, or standardizing landing pages across multiple repos.