End-to-end source processing -- seed, reduce, process all claims through reflect/reweave/verify, archive. The full pipeline in one command. Triggers on "/pipeline", "/pipeline [file]", "process this end to end", "full pipeline".
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Une commande directe contourne le prompt de vérification. Examinez la source avant de l'exécuter.
End-to-end source processing -- seed, reduce, process all claims through reflect/reweave/verify, archive. The full pipeline in one command. Triggers on "/pipeline", "/pipeline [file]", "process this end to end", "full pipeline".
version
1.0
generated_from
arscontexta-v1.6
user-invocable
true
context
fork
model
sonnet
allowed-tools
Read, Write, Edit, Grep, Glob, Bash, Task
argument-hint
[file] — path to source file to process end-to-end
EXECUTE NOW
Target: $ARGUMENTS
Parse immediately:
Source file path: the file to process (required)
--handoff: output RALPH HANDOFF block at end (for chaining)
If target is empty: list files in {DOMAIN:inbox}/ and ask which to process
Step 0: Read Vocabulary
Read ops/derivation-manifest.md (or fall back to ops/derivation.md) for domain vocabulary mapping. All output must use domain-native terms. If neither file exists, use universal terms.
START NOW. Run the full pipeline.
Pipeline Overview
The pipeline chains four phases. Each phase uses skill invocation or /ralph for subagent-based processing. State lives in the queue file — the pipeline is stateless orchestration on top of stateful queue entries.
Source file
|
v
Phase 1: /seed — create extract task, move source to archive
|
v
Phase 2: /reduce (via /ralph) — extract claims from source
|
v
Phase 3: /ralph (all claims) — create -> reflect -> reweave -> verify
|
v
Phase 4: /archive-batch — move task files, generate summary
|
v
Complete
The pipeline is the convenience wrapper. /ralph is the engine. /seed is the entry point.
Phase 1: Seed
Invoke /seed on the target file to create the extract task, check for duplicates, and move the source to its archive folder.
How to invoke:
Use the Skill tool if available, otherwise execute the /seed workflow directly:
Validate source exists
Check for prior processing (duplicate detection)
Create archive folder
Move source from {DOMAIN:inbox} to archive
Create extract task file
Add extract task to queue
Capture from seed output:
Batch ID: the source basename (used for --batch filtering in subsequent steps)
Archive folder path: where the source was moved
next_claim_start: the claim numbering start
Report: $ Seeded: {source-name}
If seed reports the file was already processed: Ask the user whether to proceed or skip. Do NOT auto-skip — the user may want to re-process with different scope.
Phase 2: Extract (Reduce)
Process the extract task via /ralph. This spawns a subagent that runs /reduce, extracting claims from the source and creating task entries in the queue.
After completion, read the queue to count extracted claims and enrichments:
Check how many pending tasks exist for this batch. The reduce phase creates 1 queue entry per claim and 1 per enrichment.
Report:
$ Extracted: {N} {DOMAIN:note_plural}, {M} enrichments
Processing {total_tasks} tasks through the pipeline...
If zero claims extracted: Report the issue. For TFT sources, zero extraction is a bug — the source almost certainly contains extractable content. Ask the user whether to retry with different scope or skip.
Phase 3: Process All Claims
Count total pending tasks for this batch from the queue. Then process all of them through the full phase sequence.
This processes every claim through: create -> reflect -> reweave -> verify. And every enrichment through: enrich -> reflect -> reweave -> verify.
Each phase runs in an isolated subagent with fresh context. /ralph handles all the orchestration: subagent spawning, handoff parsing, queue advancement, learnings capture.
Progress reporting:
The /ralph invocation reports progress per task. The pipeline relays this:
For large batches (20+ claims): /ralph handles context isolation automatically via subagents. The pipeline does NOT need to chunk — /ralph processes N tasks sequentially with fresh context per phase.
Phase 4: Verify Completion
After /ralph finishes, verify all tasks for this batch are done.
Check the queue: count tasks for this batch that are NOT done.
If tasks remain pending:
Report which tasks are incomplete and at which phase
Show the specific task IDs and their current_phase
Suggest: "Run /ralph --batch {batch_id} to continue from where it stopped"
Do NOT proceed to archive
If all tasks are done: Proceed to Phase 5.
Phase 5: Archive Batch
When all tasks for the batch are complete, archive the batch.
How to invoke:
/archive-batch {batch_id}
Or execute directly:
Move all task files from ops/queue/ to ops/queue/archive/{date}-{batch_id}/
Generate a batch summary file: {batch_id}-summary.md
Remove completed entries from the queue (or mark as archived)
=== RALPH HANDOFF: pipeline ===
Target: {source_file}
Work Done:
- Seeded source: {batch_id}
- Extracted {N} {DOMAIN:note_plural} and {M} enrichments
- Processed all claims through 4-phase pipeline
- Archived batch to {archive_path}
Files Modified:
- {DOMAIN:notes}/ ({N} new {DOMAIN:note_plural})
- ops/queue/archive/{date}-{batch_id}/ (archived)
Learnings:
- [Friction]: {description} | NONE
- [Surprise]: {description} | NONE
- [Methodology]: {description} | NONE
- [Process gap]: {description} | NONE
Queue Updates:
- All tasks for batch {batch_id} marked done and archived
=== END HANDOFF ===
Error Handling
Phase failure at any stage:
Report the failure with context (which phase, which task, what error)
Show the current queue state for this batch
Suggest remediation: "Run /ralph --batch {batch_id} to continue from where it stopped"
Do NOT attempt to continue automatically past failures
The pipeline is resumable. Queue state persists across sessions:
/seed detects prior processing and asks whether to proceed
/ralph picks up from the last completed phase (queue is the source of truth)
/archive-batch verifies completeness before archiving
Seed failure: If /seed fails (file not found, duplicate detected and user declines), stop the pipeline entirely.
Extract failure: If /reduce extracts zero claims, report and stop. Do not proceed to an empty processing phase.
Processing failure: If /ralph fails mid-batch, the queue preserves state. Individual claims resume from their failed phase on next /ralph invocation.
Archive failure: If archiving fails, the claims are still created and connected. Only the organizational cleanup is missing — re-run /archive-batch manually.
Resumability
The pipeline is designed to be interrupted and resumed at any point:
Interrupted At
How to Resume
Before seed
Run /pipeline again (starts fresh)
After seed, before reduce
/ralph 1 --batch {id} --type extract
After reduce, during claims
/ralph --batch {id} (picks up from failed phase)
After all claims, before archive
/archive-batch {id}
State lives in the queue file. The pipeline reads queue state, not session state. This means you can interrupt, close the session, and resume later.
Edge Cases
No target file: List {DOMAIN:inbox}/ candidates, suggest the best one based on age and relevance.
Source already seeded: /seed detects this and asks the user. If they decline, the pipeline stops cleanly.
Large source (2500+ lines): /reduce handles chunking automatically. The pipeline does not need special handling.
No ops/derivation-manifest.md: Use universal vocabulary for all output.
Critical Constraints
never:
Skip the seed phase (duplicate detection is important)
Continue past a failed phase automatically
Process claims inline instead of via /ralph subagents
Archive a batch with incomplete tasks
always:
Report progress at each phase boundary
Verify all tasks are done before archiving
Show the user what was created (list of {DOMAIN:note_plural})
Suggest next steps if interrupted
Use domain-native vocabulary from derivation manifest
