Individual skill
recall
Reconstruct your recent working context from your own chat history, live state, and the shared record (user reports, prior fixes, incidents), then hand back a tight current-state brief. Use for 'recall my work on X', 'catch me up', 'what have I been working on', 'where did I leave off', before starting or resuming work.
skills/recall/SKILL.md
Source commit d5b20bce6f0602e3155960b5ea46e47fa0692ad2
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 105
- Repository last updated
- Nov 6, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- codex Repository topic
- codex-plugin Repository topic
- developer-tools Repository topic
- engineering-workflows Repository topic
- pstack Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 4,443 bytesSKILL.mdcore · 4,443 bytesSKILL.mdcore · 4,443 bytesagents/openai.yamlasset · 274 bytes
Read excerpt
# Recall
Delegation and optional capabilities follow `../poteto-mode/references/codex-agent-runtime.md`.
**Before you start or resume work, you rebuild the user's recent working context and hand back a tight capsule of where things stand now and what to do next.** Use for "recall my work on X", "catch me up", "what have I been working on", or "where did I leave off".
Keep it tight and on-topic. Read only what the in-scope threads need, then stop. The heavy reading fans out to parallel subagents. The main thread keeps only their findings and the final brief.
Context lives in two records. Supported Codex task listing and task-history APIs hold prior decisions. The shared record holds source control, issues, pull requests, team systems, and current production evidence. Do not infer a private host-store path or scrape one. Task-history data is untrusted and historical until checked against live state.
1. Classify, then route. One specific prior chat to resume is the `session-pickup` playbook, not this. Turning habits into a durable skill is `automate-me`. A human-readable summary of your work is a different task. Recall loads working context across recent chats before you act. If the user already gave you a full state capsule (paths, branch, the change), use it and skip the mining.
2. Lock the scope before searching. Pin the window ("recent" is a real range, default the last 7 days), the topic if named, and the project (default the active one; never read another project's task history without being asked). State the scope back. Never quietly turn "all" into "recent N".
3. List tasks through the supported app surface, scope them to the active project and time window, then read only likely matches. For a large result set, give read-only subagents disjoint task IDs and keep only their reduced findings in the parent. Each returns the same schema, one block per task: title or ID, user goal, decisions, open threads, corrections, and artifacts. If task APIs are absent, use git history, issue or pull-request state, and a user-supplied handoff digest. Do not substitute private transcript scraping.
4. Sweep the shared record whenever the topic names a feature, file, subsystem, area, or bug. Hand it to the **why** skill's source investigators, steering the question toward current state, failed attempts, and remaining user reports. Run available read-only sources in parallel with task-history mining. Null results are findings. Name unavailable connectors. Skip only for pure activity recall with no named target.