Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Automatically recover working context after session compaction or when continuation is implied but context is missing. Works across Discord, Slack, Telegram,...
Automatically recover working context after session compaction or when continuation is implied but context is missing. Works across Discord, Slack, Telegram,...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Automatically recover working context after session compaction or when continuation is implied but context is missing. Works across Discord, Slack, Telegram, Signal, and other supported channels. Use when: Session starts with truncated context, user references prior work without specifying details, or compaction indicators appear.
This skill prioritizes channel/session API history to recover context. It does NOT perform broad filesystem scans or shell glob searches by default. It does NOT send recovered context to external services. It does NOT write to disk unless the user explicitly asks to persist recovered state.
Session begins with a <summary> tag (compaction detected) User message contains compaction indicators: "Summary unavailable", "context limits", "truncated"
User says "continue", "did this happen?", "where were we?", "what was I working on?" User references "the project", "the PR", "the branch", "the issue" without specifying which User implies prior work exists but context is unclear User asks "do you remember...?" or "we were working on..."
Extract from runtime context: channel — discord | slack | telegram | signal | etc. channelId — the specific channel/conversation ID threadId — for threaded conversations (Slack, Discord threads)
Initial fetch: message:read channel: <detected-channel> channelId: <detected-channel-id> limit: 50 Adaptive expansion logic: Parse timestamps from returned messages Calculate time span: newest_timestamp - oldest_timestamp If time span < 2 hours AND message count == limit: Fetch additional 50 messages (using before parameter if supported) Repeat until time span ≥ 2 hours OR total messages ≥ 100 Hard cap: 100 messages maximum (token budget constraint) Thread-aware recovery (Slack/Discord): # If threadId is present, fetch thread messages first message:read channel: <detected-channel> threadId: <thread-id> limit: 50 # Then fetch parent channel for broader context message:read channel: <detected-channel> channelId: <parent-channel-id> limit: 30 Parse for: Recent user requests (what was asked) Recent assistant responses (what was done) URLs, file paths, branch names, PR numbers Incomplete actions (promises made but not fulfilled) Project identifiers and working directories
Use platform/session APIs only (no shell filesystem scans): # List recent sessions (if tool exists) sessions_list: limit: 5 # Pull last messages from likely matching session sessions_history: sessionKey: <candidate-session-key> limit: 80 includeTools: true If session APIs are unavailable, skip this step and proceed with channel-only evidence.
Only inspect memory if the agent runtime already provides a scoped memory tool/path. Do not run shell glob scans across home directories.
Do not write to disk by default. If persistence is useful, ask first: "I can cache this recovered context to memory for later continuity. Should I save it?"
Present the recovered context, then prompt: "Context recovered. Your last request was [X]. This action [completed/did not complete]. Shall I [continue/retry/clarify]?"
Use channelId from the incoming message metadata Guild channels have full history access Thread recovery: check for threadId in message metadata DMs may have limited history
Use channel parameter with Slack channel ID Thread context requires threadId — always check for thread context first Parent channel fetch provides surrounding conversation context May need workspace-level permissions for full history
Same message:read interface History depth may vary by platform Group vs. DM context may differ
Prefer this protocol before declaring "insufficient data" when context appears missing Adaptive depth: start with 50, expand to 100 max Time-based goal: capture at least 2 hours of context when possible If recovery fails, state what was attempted and what data sources were unavailable Avoid broad filesystem scans or writes without explicit user consent
At session start, scan for compaction indicators: # Pseudocode for trigger detection if message contains "<summary>": trigger_context_recovery() elif message contains any of ["Summary unavailable", "context limits", "truncated", "compacted"]: trigger_context_recovery() elif message matches continuation_patterns: # "continue", "where were we", "did this happen", etc. trigger_context_recovery() Do not wait for user to ask — if compaction is detected, proactively recover and present context.
Scenario: Session starts with compaction summary User message: "<summary>Summary unavailable due to context limits...</summary>" User message: "did this happen?" Agent executes: Detects compaction via <summary> tag message:read channel=discord channelId=1460342116516364533 limit=50 Calculates time span: 2.5 hours — sufficient, no expansion needed Parses messages, finds last action: "Now let me extract the key orchestration decisions..." Checks session context APIs — extracts recent user requests Responds: "Context recovered. Your last request was to extract orchestration decisions from Nexus archived sessions for PR #137 (Skills & Agents System). This action did not complete before context was truncated. Recovered state: PR #137: 15,053 additions, 91 files, CONFLICTING merge state Spec location: content/spec-skills-agents-system.md (2,067 lines) Shall I proceed with the extraction?"
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.