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context-manual

Use for an unfamiliar or consequential context operation, session journaling, handoff, or context-loss recovery; routine calls can follow the schema.

Quellinformationen

Repository
Lingtai-AI/lingtai-kernel
Letzte Quellaktivität
2. Oktober 2026 um 21:43
Erkannte Sprache von SKILL.md
Englisch
Sterne
11
Forks
14

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
context-manual
description
Use for an unfamiliar or consequential context operation, session journaling, handoff, or context-loss recovery; routine calls can follow the schema.
version
2.3.0
last_changed_at
2026-09-29T00:00:00Z
related_files
["src/lingtai/tools/context/__init__.py","src/lingtai/tools/context/_molt.py","src/lingtai/tools/context/_session_journal.py","src/lingtai/tools/system/summarize.py","src/lingtai/agent.py","src/lingtai/tools/psyche/CONTRACT.md"]
maintenance
This package is the canonical Context manual source and runtime-installed owner. Update it when the tool/capability behavior changes.
# Context Manual Use the schema for routine calls; open this manual for unfamiliar workflows or recovery risk. Context has four operations: - `summarize` records compact replacements for selected old tool results; it does not rebuild provider context. - `rebuild` recomposes all canonical prompt sources, applies summaries, then requests provider replay. Bare `input={}` is valid; durable file edits do not hot-load. It is strongly discouraged as routine compaction, tool-result cleanup, or a ceremony after every Pad/Knowledge/character edit: full replay is costly, can disturb prompt-prefix cache reuse, and still retains the bulky history. - `molt` sheds conversation while retaining durable files and stores. It is an irreversible boundary, not housekeeping, but it is the preferred deliberate response to substantial or noisy history or sustained pressure when a fresh briefing is worth its cost. - `manual` returns the installed `context-manual` without changing context. ## Shortest useful path When current `meta_guidance` says a consumed result needs a posteriori compaction, inspect it first, then use `context(action="summarize", input={"items": [...]})`; do not use this as routine cleanup. Prefer a deliberate molt over a manual rebuild when history is substantial or noisy. Routine durable edits can simply wait for the next natural molt or reload; they do not need an immediate rebuild. Rare exception: when new canonical prompt sources or pending summaries must apply in this conversation and a molt is unsuitable, make one targeted `context(action="rebuild", input={})`—never a loop. The [summarize reference](reference/summarize-manual/SKILL.md) owns selection, recovery, and pressure guidance. Before a deliberate molt: 1. Make the task, authority, blockers, live IDs, evidence paths, and next action recoverable. Update only stores that changed. No summarize or rebuild is required first. 2. Write the session-journal child and parent-index pointer. It must be `knowledge/session-journal/<entry>/KNOWLEDGE.md`, nonempty UTF-8, with valid `name`/`description` frontmatter and `type: session-journal` or `session_journal: true`. Use the [journal scaffold](assets/session-journal-entry-template.md) if useful. 3. Pass its path as `session_journal_path` and write the shortest sufficient handoff: active state, verified results, pending authority, next steps, live IDs, artifact/evidence paths, blockers, and lessons. Use the [optional handoff scaffold](assets/molt-template.md) only when it lowers real risk. 4. Call `context(action="molt", ...)`. The journal is validated before shedding; invalid input leaves molt count/history untouched. `keep_tool_calls` refuses unknown IDs; `keep_last` preserves a suffix and complete tool-call batches. The schema is authoritative. Molt preserves durable files and source reconstruction: it archives/snapshots the old conversation, rebuilds the fresh prompt, and publishes a post-molt notification. It does not delete durable stores. Molt for sustained pressure, an explicit human reset, or confusion—not merely task completion. Tending stores need not create gratuitous edits or new skills. Ordinary molt/rebuild retains notification delivery identity within this agent process: already delivered events do not automatically replay. Carry still-needed message content and routing IDs in your authorized handoff; new post-molt notices and new producer events still deliver. A new Agent/process restart starts fresh bookkeeping, not cross-crash exactly-once. ## After a molt Read the post-molt notification/`summary_path`, current prompt/Pad, journal index, and new producer messages. Treat the briefing as context, not a command to run blindly. Re-check IDs and evidence paths. After reorientation, explicitly choose `continue`, `defer`, or `obsolete` and record that decision in your session journal/pad. The post-molt notification is delivered once and is not re-attached automatically; there is no notification dismiss action, and delivery does not mean any human task is completed (`notification(action="check")` rereads it deliberately). Resume through the originating channel/tool; a saved briefing or provider replay is not proof of delivery. The action `summarize` records Context history; the optional root `summarize` boolean only presents results. They are not the same input. Use `psyche(action="manual", input={}, reasoning="load durable-store routes")` for store ownership; durable writes go through `shell` (verify the old text exists exactly once before replacing, and read the file back afterwards), and may wait for the next natural molt or reload; rebuild only under the rare exception above.
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