agentleFS
fabioc-alohafabioc-aloha/Alex_Skill_Mall/.github/skills/meditation/SKILL.md

meditation

Skill5 starsChanged 3 months agoMITView on GitHub

Consolidate session learning into permanent architecture — extract patterns into skills, instructions, prompts, or memory

2 other projects use a version of this, 1 of them edited.

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The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 2 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    After solving a hard problem with a reusable insight

    line 15
  2. Distinctive:

    Before a long break from a project

    line 16
  3. Very specific:

    If the session arc was substantial, write to .github/episodic/meditation-YYYY-MM-DD-<topic>.md:

    line 54
  4. Very specific:

    If the user is closing the thread, write to repo-root HANDOFF.md:

    line 79

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Meditation

Transform session insights into durable knowledge. Most sessions don't need it; some have a pattern worth keeping.

When to Fire

  • User says "let's meditate", "consolidate", or invokes /meditate
  • End of a significant work session
  • After solving a hard problem with a reusable insight
  • Before a long break from a project

Skip when: the session was routine execution of patterns already encoded. Meditation on every session produces noise; the discipline is to write only what's new and portable.

The Five Steps

1. Review

Scan the session honestly:

  • What problems did we solve?
  • What mistakes did we make?
  • What patterns emerged that weren't already encoded?
  • What would help future sessions?

2. Extract

Separate signal from noise. For each candidate pattern, ask: "Is this already covered by an existing skill, instruction, or memory?" If yes, skip. If no, route by type:

If pattern is...Create / update
Reusable domain knowledgeSkill (.github/skills/<name>/SKILL.md)
Always-on behavior or ruleInstruction (.github/instructions/<name>.instructions.md)
Repeatable workflow / slash commandPrompt (.github/prompts/<name>.prompt.md)
Automatable mechanical task (skill-owned)Skill script (.github/skills/<name>/scripts/*.cjs)
Automatable mechanical task (cross-cutting)Repo script (scripts/<name>.cjs)
User preference (cross-project)User memory (/memories/<name>.md)
Project / repo conventionRepo memory (/memories/repo/<name>.md)
Cross-session handoff (next session needs to know)Repo file (HANDOFF.md at repo root) — NOT session memory

3. Write

Each artifact gets correct frontmatter, concrete examples (not abstractions), and tables with real data. Avoid the "capabilities list" anti-pattern — describe behavior, not features.

For skills and instructions: include a Trigger or When to fire section so future sessions know when the pattern applies.

4. Chronicle (optional)

If the session arc was substantial, write to .github/episodic/meditation-YYYY-MM-DD-<topic>.md:

# Meditation: <Topic>

**Date**: YYYY-MM-DD
**Focus**: What we worked on

## Accomplished
- [Key outcomes]

## Patterns Extracted
- [What became skills / instructions / memory]

## Lessons
- [Insights worth remembering]

## Open Questions
- [What remains unresolved]

Skip the chronicle for short sessions or when nothing new emerged.

5. Handoff (when ending a session)

If the user is closing the thread, write to repo-root HANDOFF.md:

# Session Handoff

Last updated: YYYY-MM-DD HH:MM

## Just shipped
- [SHAs / files / outcomes]

## In progress
- [Specific next step + file paths]

## Pending queue
- [ ] [Ordered todos]

## Resume point
- [Where to pick up]

Quality Bar

A meditation is complete when:

  • New patterns are persisted, not just acknowledged
  • Nothing important lives only in the context window
  • Existing artifacts were checked for duplication before writing new ones
  • The session can be closed without losing the thread

Brain Retraining (longer cycles)

The five-step protocol above is per-session. The Mall brain also retrains on a longer cadence against two evidence streams:

  1. Catalog reality. New sources added or retired, new plugin shapes encountered, and trust-score distribution shifts can render parts of the brain stale. Run currency-audit against lastReviewed dates and the weekly catalog-refresh PR signals.
  2. Self-audit during PR review. The catalog-refresh PR is the human surface; any friction observed there (wrong-routing, undocumented edge case, missing skill) is signal that a brain artifact needs evolution.
CadenceAction
WeeklyReview the catalog-refresh PR. Note any friction; if a brain artifact mis-routed or under-described, hotfix in the same PR.
MonthlyRun currency-audit against any artifact with lastReviewed older than 90 days. Refresh or sunset.
QuarterlyWalk every brain artifact. Confirm falsifiability-deadlines haven't fired without action. Sunset what no longer earns its tokens.

Retraining is critical thinking applied to the brain itself. Each cycle treats the current brain as a hypothesis and tests it against accumulated evidence. Skipping a cycle is the same discipline violation as skipping act-pass on a behaviour-class commit.

Anti-Patterns

Anti-patternCorrection
Writing a meditation note for every sessionMost sessions are routine execution; only write when something new emerged
Duplicating an existing skill / memory under a new nameAlways grep first: is this already covered?
Aspirational notes ("we should do X someday")Memory is for what was learned, not what was wished
Long prose chronicles when a one-line memory sufficesMatch artifact size to insight size
Skipping the duplication check to "just capture it"Adds noise that the next session has to filter

Related

  • meditation.instructions.md — when this skill fires
  • /meditate prompt — slash-command entry
  • memory-triggers.instructions.md — automatic triggers between meditations

Falsifiability

  • This skill adds no value if meditation sessions produce no actionable items (skill extractions, pattern recognitions, or architecture insights) over a 90-day window
  • The protocol is wrong if chronicles written per this format are never consulted in future sessions
  • Stale if the memory tier structure changes and this skill references obsolete storage locations

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