Capture

Capture

Detect when a recent moment is reusable knowledge, recommend the best place to capture it, ask for approval, and then update the approved destination safely.

Trigger

Activate only when at least one of these is true:

• The user invokes this skill directly
• The conversation includes an explicit capture cue such as:
• "remember this"
• "this should be a skill"
• "we always forget this"
• "the correct command is"
• A workflow reaches a checkpoint such as:
• a fix is confirmed
• a decision is finalized
• a non-obvious command or parameter is established

Do not activate continuously or speculatively. This skill is a checkpoint helper, not ambient monitoring.

Instructions

1. Confirm the trigger moment and identify the candidate knowledge from recent context.
2. Read references/target-selection.md to decide whether the best destination is:

• an existing skill
• a new skill
• tasks/lessons.md
• docs/solutions/...
• ignore

1. Before recommending a destination, check for an existing capture to avoid duplication.

• Search matching skills with rg
• Check tasks/lessons.md
• Check docs/solutions/ if it exists

1. Recommend one destination with a short reason and confidence statement.

• If confidence is high for an existing skill, name that skill directly.
• If the decision is ambiguous, present the top two options instead of bluffing certainty.

1. Ask for approval using plain numbered choices so the flow works across platforms.

• Example:

1. Approve recommended destination
2. Choose a different destination
3. Ignore for now
4. If the user approves a write, read references/edit-policy.md and follow the target-specific rules.

• Existing skill: apply append-only updates directly after approval, but preview structural changes first.
• New skill: create a minimal package under skills// plus a root README.md entry.
• Lessons: append one short rule to tasks/lessons.md.
• Solution docs: create docs/solutions/ on demand and write one compact solution document.

1. Keep the update focused.

• Prefer one primary destination per moment.
• Add cross-links only when they materially help.
• Do not write to multiple destinations unless the user explicitly asks.

1. Summarize what changed and reference the edited files.

Guardrails

• Do not write anything before approval.
• Do not force a skill update when a lesson is the cleaner fit.
• Do not rewrite a skill's core workflow without showing a preview first.
• Do not create a new skill for a one-off project fact.
• Do not claim certainty when the destination is genuinely unclear.

References

• references/target-selection.md - destination heuristics, confidence rules, and duplicate checks
• references/edit-policy.md - mixed policy for skill edits plus write templates for all destinations
• references/examples.md - sample trigger moments, approvals, and destination outcomes

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: gokhanamal
• Source: gokhanamal/ai-context
• License: MIT

Install and usage instructions live in the source repository linked above.