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Tencent SkillHub · Communication & Collaboration

Context Recovery

Automatically recover working context after session compaction or when continuation is implied but context is missing. Works across Discord, Slack, Telegram,...

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Automatically recover working context after session compaction or when continuation is implied but context is missing. Works across Discord, Slack, Telegram,...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, _meta.json

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

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.

Upgrade existing

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.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.2.2

Documentation

ClawHub primary doc Primary doc: SKILL.md 17 sections Open source page

Context Recovery

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.

Safety Boundaries

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.

Automatic Triggers

Session begins with a <summary> tag (compaction detected) User message contains compaction indicators: "Summary unavailable", "context limits", "truncated"

Manual Triggers

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..."

Step 1: Detect Active Channel

Extract from runtime context: channel — discord | slack | telegram | signal | etc. channelId — the specific channel/conversation ID threadId — for threaded conversations (Slack, Discord threads)

Step 2: Fetch Channel History (Adaptive Depth)

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

Step 3: Fetch Session Context (safe mode)

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.

Step 4: Optional Memory Check (explicitly scoped)

Only inspect memory if the agent runtime already provides a scoped memory tool/path. Do not run shell glob scans across home directories.

Step 5: Synthesize Context

  • Compile a structured summary:
  • ## Recovered Context
  • **Channel:** #<channel-name> (<platform>)
  • **Time Range:** <oldest-message> to <newest-message>
  • **Messages Analyzed:** <count>
  • ### Active Project/Task
  • **Repository:** <repo-name>
  • **Branch:** <branch-name>
  • **PR:** #<number> — <title>
  • ### Recent Work Timeline
  • 1. [<timestamp>] <action/request>
  • 2. [<timestamp>] <action/request>
  • 3. [<timestamp>] <action/request>
  • ### Pending/Incomplete Actions
  • ⏳ "<quoted incomplete action>"
  • ⏳ "<another incomplete item>"
  • ### Last User Request
  • > "<quoted request that may not have been completed>"

Step 6: Optional Persistence (consent-first)

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?"

Step 7: Respond with Context

Present the recovered context, then prompt: "Context recovered. Your last request was [X]. This action [completed/did not complete]. Shall I [continue/retry/clarify]?"

Discord

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

Slack

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

Telegram / Signal / Others

Same message:read interface History depth may vary by platform Group vs. DM context may differ

Constraints

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

Auto-Trigger Detection

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.

Example

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?"

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Config
  • SKILL.md Primary doc
  • _meta.json Config